diff --git a/ADictML_Glossary_English.tex b/ADictML_Glossary_English.tex index 492a8a6..1fa3f6e 100644 --- a/ADictML_Glossary_English.tex +++ b/ADictML_Glossary_English.tex @@ -10122,6 +10122,97 @@ text={loss function} } +\newglossaryentry{survivalanalysis}{ + name={survival analysis}, + description={A \index{survival analysis} survival analysis is a branch of statistics and machine learning that deals with time-to-event data, where the goal is to estimate the time until an event of interest (e.g., failure, death, or relapse) occurs \cite{Wang2019_2025}. It accounts for censored observations and focuses on estimating survival functions, hazard rates, and risk scores \cite{Kleinbaum1998} . \\ + See also: \gls{hazardfunction}, \gls{coxph}, \gls{randomsurvivalforest}.% + }, + first={survival analysis}, + text={survival analysis} + %App=Health +} + +\newglossaryentry{hazardfunction} +{name={hazard function}, + description={A\index{hazard function} hazard function, also known as the hazard rate or failure rate, + represents the instantaneous risk of an event occurring at a specific time, given that the subject has survived up to that time. + It is a key quantity in \gls{survivalanalysis} and forms the basis for models such as the \gls{coxph}. + \\ + See also: \gls{survivalanalysis}, \gls{coxph}.}, + first={hazard function}, + text={hazard function} +} + +\newglossaryentry{coxph} +{name={Cox Proportional Hazards}, + description={A\index{Cox Proportional Hazards} Cox Proportional Hazards (CoxPH) model is a semi-parametric model used in \gls{survivalanalysis} to relate multiple covariates to the hazard rate of an event. + It assumes that the \gls{lossfunc} for an individual is the product of a \gls{baseline} hazard and an exponential function of covariates. + The model estimates relative \gls{risk} without requiring the \gls{baseline} hazard to be specified explicitly. + \\ + See also: \gls{survivalanalysis}, \gls{hazardfunction}.}, + first={Cox Proportional Hazards (CoxPH)}, + text={CoxPH} +} + +\newglossaryentry{coxnet} +{name={Cox Neural Network}, + description={A\index{Cox Neural Network} Cox Neural Network (CoxNet) is a deep learning extension of the \gls{coxph} \gls{model} that uses neural networks to learn complex, non-linear relationships between covariates and survival outcomes. + It optimizes the Cox partial likelihood function while allowing for flexible \gls{feature} representations, making it suitable for high- \gls{dimension} or unstructured \gls{data} such as images or text. + \\ + See also: \gls{coxph}, \gls{survivalanalysis}.}, + first={Cox Neural Network (CoxNet)}, + text={CoxNet} +} + +\newglossaryentry{neuralnetwork} +{name={neural network}, + description={A\index{neural network} neural network is a computational \gls{model} composed of interconnected \gls{layer} of artificial neurons + that can approximate complex, non-linear mappings between inputs and \gls{output}. + Neural networks are widely used in deep learning for tasks such as \gls{classification}, \gls{regression}, and representation learning. + \\ + See also: \gls{coxnet}.}, + first={neural network}, + text={neural network} +} + +\newglossaryentry{deeplearning} +{name={deep learning}, + description={A\index{deep learning} deep learning is a subfield of machinelearning that employs multi-layered \glspl{neuralnetwork} + to learn hierarchical representations of \gls{data}. + It enables automatic \gls{feature} extraction and is widely applied in domains such as computer vision, natural language processing, and survival prediction. + \\ + See also: \gls{neuralnetwork}.}, + first={deep learning}, + text={deep learning} +} + +\newglossaryentry{coefficient} +{name={coefficient}, + description={A\index{coefficient} coefficient is a numerical parameter that determines the strength and direction of the relationship + between an input \gls{feature} and the \gls{output} of a statistical or \gls{ml} \gls{model}. + In linear\glspl{model}, coefficients weight each feature in forming a \gls{prediction}, for example + \( \hat{y} = \beta_0 + \sum_{j=1}^{p} \beta_j x_j \), where each \(\beta_j\) is a coefficient. + Coefficients are typically learned from \gls{data} through optimization methods such as gradient descent. + They play a central role in \gls{interpretability}, as their magnitude and sign indicate how a feature influences model predictions \cite{Hastie2009}\cite{Molnar2022}. + \\ + See also: \gls{feature}, \gls{model}, \gls{regression}.}, + first={coefficient}, + text={coefficient} +} + +\newglossaryentry{baselinehazard} +{name={baseline hazard}, + description={A\index{baseline hazard} \gls{baseline} hazard, denoted \(h_{0}(t)\), represents the underlying + \gls{hazardfunction} for an individual with \gls{baseline} or reference \glspl{feature} (typically coded as zeros) + in the \gls{coxph} \gls{model}. It captures how the event risk changes over time independently of covariate effects. + Although the \gls{coxph} \gls{model} does not specify a parametric form for \(h_{0}(t)\), it can be estimated + non-parametrically from the \gls{data} using methods such as the Breslow estimator \cite{Kleinbaum2012}. + \\ + See also: \gls{hazardfunction}, \gls{coxph}, \gls{survivalanalysis}.}, + first={baseline hazard}, + text={baseline hazard} +} + \newglossaryentry{decisiontree} {name={decision tree}, plural={decision trees}, description={A\index{decision tree} @@ -10346,6 +10437,19 @@ text={random forest} } +\newglossaryentry{randomsurvivalforest} +{name={random survival forest}, + description={A\index{random survival forest} random survival forest (RSF) \cite{Ishwaran2008} is an ensemble of \glspl{decisiontree} designed for time-to-event (survival) data. + Each tree is grown on a bootstrap sample of the original \gls{dataset} with random \gls{feature} selection at splits, using survival-specific split criteria (e.g., log-rank). + The forest aggregates per-tree survival estimates to produce an overall survival function and risk scores, and naturally handles right-censoring. + RSF extends the principles of \gls{randomforest} to survival settings and has been shown to perform well in high-dimensional biomedical and real-world datasets + \cite{Wang2019,Salerno2023}. + \\ + See also: \gls{decisiontree}, \gls{dataset}, \gls{randomforest}.}, + first={random survival forest (RSF)}, + text={random survival forest} +} + \newglossaryentry{gd} {name={gradient descent (GD)}, description={GD\index{gradient descent (GD)} is an iterative method for diff --git a/Literature.bib b/Literature.bib new file mode 100644 index 0000000..ff53da3 --- /dev/null +++ b/Literature.bib @@ -0,0 +1,18408 @@ +%% This BibTeX bibliography file was created using BibDesk. +%% https://bibdesk.sourceforge.io/ + +%% Created for Alex Jung at 2025-11-27 18:14:45 +0100 + + +%% Saved with string encoding Unicode (UTF-8) + + +@ieeetranbstctl{bstctl:nodash, + ctldash_repeated_names = {no}} + + +@string{academic = {Academic Press}} + +@string{acha = {Applied and Computational Harmonic Analysis}} + +@string{acu = {ACUSTICA}} + +@string{addwes = {Addison Wesley}} + +@string{aieeesp = {{{\rm accepted for publication in}} IEEE Trans. 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PMID: 21135272}, + cois = {Authors' disclosures of potential conflicts of interest and author contributions are found at the end of this article.}, + crdt = {2009/08/19 09:00}, + date = {2009 Sep 20}, + date-added = {2025-11-27 17:59:14 +0100}, + date-modified = {2025-11-27 17:59:14 +0100}, + dcom = {20091104}, + dep = {20090817}, + doi = {10.1200/JCO.2008.20.6136}, + edat = {2009/08/19 09:00}, + gr = {R01-50947/PHS HHS/United States; P01-78378/PHS HHS/United States; P50 CA100707-04/CA/NCI NIH HHS/United States; P50 CA100707/CA/NCI NIH HHS/United States; R01-129295/PHS HHS/United States; R01 CA124929/CA/NCI NIH HHS/United States}, + issn = {1527-7755 (Electronic); 0732-183X (Print); 0732-183X (Linking)}, + jid = {8309333}, + journal = {J Clin Oncol}, + jt = {Journal of clinical oncology : official journal of the American Society of Clinical Oncology}, + language = {eng}, + lid = {10.1200/JCO.2008.20.6136 {$[$}doi{$]$}}, + lr = {20211020}, + mh = {Chromosome Aberrations; *Gene Dosage; Humans; Multiple Myeloma/*genetics; Polymorphism, Single Nucleotide; Predictive Value of Tests; Prognosis}, + mhda = {2009/11/05 06:00}, + month = {Sep}, + number = {27}, + own = {NLM}, + pages = {4585--4590}, + phst = {2009/08/19 09:00 {$[$}entrez{$]$}; 2009/08/19 09:00 {$[$}pubmed{$]$}; 2009/11/05 06:00 {$[$}medline{$]$}; 2010/09/20 00:00 {$[$}pmc-release{$]$}}, + pii = {JCO.2008.20.6136; 06136}, + pl = {United States}, + pmc = {PMC2754906}, + pmcr = {2010/09/20}, + pmid = {19687334}, + pst = {ppublish}, + pt = {Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't}, + sb = {IM}, + status = {MEDLINE}, + title = {Prognostic significance of copy-number alterations in multiple myeloma.}, + volume = {27}, + year = {2009}, + bdsk-url-1 = {https://doi.org/10.1200/JCO.2008.20.6136}} + +@article{Cox1972, + author = {D. 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PMID: 33464646}, + issn = {1096-8652 (Electronic); 0361-8609 (Linking)}, + jid = {7610369}, + journal = {Am J Hematol}, + jt = {American journal of hematology}, + language = {eng}, + lid = {10.1002/ajh.25791 {$[$}doi{$]$}}, + lr = {20210119}, + mh = {History, 21st Century; Humans; *Multiple Myeloma; Prognosis; Risk Factors}, + mhda = {2020/06/04 06:00}, + month = {May}, + number = {5}, + own = {NLM}, + pages = {548--567}, + phst = {2020/03/12 00:00 {$[$}received{$]$}; 2020/03/18 00:00 {$[$}accepted{$]$}; 2020/03/27 06:00 {$[$}pubmed{$]$}; 2020/06/04 06:00 {$[$}medline{$]$}; 2020/03/27 06:00 {$[$}entrez{$]$}}, + pl = {United States}, + pmid = {32212178}, + pst = {ppublish}, + pt = {Historical Article; Journal Article; Research Support, N.I.H., Extramural; Review}, + sb = {IM}, + status = {MEDLINE}, + title = {Multiple myeloma: 2020 update on diagnosis, risk-stratification and management.}, + volume = {95}, + year = {2020}, + bdsk-url-1 = {https://doi.org/10.1002/ajh.25791}} + +@book{Steyerberg2019, + address = {Cham}, + author = {Steyerberg, Ewout W.}, + date-added = {2025-11-27 12:47:35 +0100}, + date-modified = {2025-11-27 12:47:35 +0100}, + doi = {10.1007/978-3-030-16399-0}, + edition = {2}, + eissn = {2197-5671}, + isbn = {978-3-030-16399-0}, + issn = {1431-8776}, + note = {65 b/w illustrations, 161 colour illustrations}, + pages = {XXXIII + 558}, + publisher = {Springer}, + series = {Statistics for Biology and Health}, + subtitle = {A Practical Approach to Development, Validation, and Updating}, + title = {Clinical Prediction Models}, + year = {2019}, + bdsk-url-1 = {https://doi.org/10.1007/978-3-030-16399-0}} + +@article{Collins:2012aa, + author = {Collins, Gary S and Moons, Karel G M}, + con = {BMJ. 2012 May 24;344:e3318. doi: 10.1136/bmj.e3318. PMID: 22628003}, + crdt = {2012/05/26 06:00}, + date = {2012 May 24}, + date-added = {2025-11-27 12:43:40 +0100}, + date-modified = {2025-11-27 12:43:40 +0100}, + dcom = {20120720}, + dep = {20120524}, + doi = {10.1136/bmj.e3186}, + edat = {2012/05/26 06:00}, + issn = {1756-1833 (Electronic); 0959-8138 (Linking)}, + jid = {8900488}, + journal = {BMJ}, + jt = {BMJ (Clinical research ed.)}, + language = {eng}, + lid = {bmj.e3186 {$[$}pii{$]$}; 10.1136/bmj.e3186 {$[$}doi{$]$}}, + lr = {20220330}, + mh = {Cardiovascular Diseases/*diagnosis/*etiology; Humans; *Models, Theoretical}, + mhda = {2012/07/21 06:00}, + month = {May}, + own = {NLM}, + pages = {e3186}, + phst = {2012/05/26 06:00 {$[$}entrez{$]$}; 2012/05/26 06:00 {$[$}pubmed{$]$}; 2012/07/21 06:00 {$[$}medline{$]$}}, + pii = {bmj.e3186}, + pl = {England}, + pmid = {22628131}, + pst = {epublish}, + pt = {Comment; Editorial}, + sb = {IM}, + status = {MEDLINE}, + title = {Comparing risk prediction models.}, + volume = {344}, + year = {2012}, + bdsk-url-1 = {https://doi.org/10.1136/bmj.e3186}} + +@book{WilsonGraph2010, + author = {Robin J. Wilson}, + date-added = {2025-11-26 22:18:01 +0100}, + date-modified = {2025-11-26 22:19:27 +0100}, + edition = {5}, + publisher = {Prentice Hall}, + title = {Introduction to Graph Theory}, + year = {2010}} + +@article{forero2011distributed, + author = {Forero, Pedro A and Cano, Alfonso and Giannakis, Georgios B}, + date-added = {2025-11-21 17:17:05 +0100}, + date-modified = {2025-11-21 17:17:05 +0100}, + journal = {IEEE Journal of Selected Topics in Signal Processing}, + number = {4}, + pages = {707--724}, + publisher = {IEEE}, + title = {Distributed clustering using wireless sensor networks}, + volume = {5}, + year = {2011}} + +@inproceedings{forero2008consensus, + author = {Forero, Pedro A and Cano, Alfonso and Giannakis, Georgios B}, + booktitle = {Signal and Info Process, Sedona, AZ: Proc Workshop on Sensors}, + date-added = {2025-11-21 17:16:46 +0100}, + date-modified = {2025-11-21 17:16:46 +0100}, + title = {Consensus-based k-means algorithm for distributed learning using wireless sensor networks}, + year = {2008}} + +@inproceedings{garst2024federated, + author = {Garst, Swier and Reinders, Marcel}, + booktitle = {International Conference on Pattern Recognition}, + date-added = {2025-11-21 17:15:51 +0100}, + date-modified = {2025-11-21 17:15:51 +0100}, + organization = {Springer}, + pages = {107--122}, + title = {Federated k-means clustering}, + year = {2024}} + +@article{Fisher1936Taxonomic, + author = {Fisher, R. A.}, + date-added = {2025-11-17 19:41:59 +0100}, + date-modified = {2025-11-17 19:41:59 +0100}, + doi = {10.1111/j.1469-1809.1936.tb02137.x}, + journal = {Annals of Eugenics}, + number = {2}, + pages = {179--188}, + title = {The Use of Multiple Measurements in Taxonomic Problems}, + url = {https://hdl.handle.net/2440/15227}, + volume = {7}, + year = {1936}, + bdsk-url-1 = {https://hdl.handle.net/2440/15227}, + bdsk-url-2 = {https://doi.org/10.1111/j.1469-1809.1936.tb02137.x}} + +@book{BoostrapBook, + address = {New York}, + author = {Efron, Bradley and Tibshirani, Robert J.}, + booktitle = {An introduction to the bootstrap}, + date-added = {2025-11-12 19:33:19 +0200}, + date-modified = {2025-11-12 19:41:42 +0200}, + edition = {[Corrected printing].}, + isbn = {0412042312}, + keywords = {Bootstrap (Statistics) ; Statistical inference}, + language = {eng}, + lccn = {93004489}, + publisher = {Chapman and Hall}, + series = {Monographs on statistics and applied probability ; 57}, + title = {An introduction to the bootstrap}, + year = {1993}} + +@book{FellerBook, + address = {New York, NY, USA}, + author = {W. 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El and Nemirovski, A.}, + biburl = {https://www.bibsonomy.org/bibtex/2b5906f9575b1bbe0e28c629d41d826b4/pcbouman}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + interhash = {ae80aac6981fd6be30bc5bf9a457258c}, + intrahash = {b5906f9575b1bbe0e28c629d41d826b4}, + keywords = {book optimization robust}, + publisher = {Princeton University Press}, + timestamp = {2011-08-18T09:10:27.000+0200}, + title = {Robust Optimization}, + year = {2009}} + +@article{RobustTrmmedMean, + author = {G. Lugosi and S. Mendelson}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + doi = {10.1214/20-AOS1961}, + issn = {0090-5364}, + journal = {Annals of Statistics}, + keywords = {Mean estimation, Robust estimation}, + language = {English}, + month = {Feb.}, + note = {Publisher Copyright: {\textcopyright} Institute of Mathematical Statistics, 2021}, + number = {1}, + pages = {393--410}, + publisher = {Institute of Mathematical Statistics}, + title = {Robust multivariate mean estimation: The optimality of trimmed mean}, + volume = {49}, + year = {2021}, + bdsk-url-1 = {https://doi.org/10.1214/20-AOS1961}} + +@article{10.1214/20-AOS1961, + author = {G. Lugosi and S. Mendelson}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = {Ann. Statist.}, + keywords = {Mean estimation, robust estimation}, + month = {Feb.}, + note = {doi: 10.1214/20-AOS1961}, + number = {1}, + pages = {393--410}, + publisher = {Institute of Mathematical Statistics}, + title = {Robust multivariate mean estimation: The optimality of trimmed mean}, + volume = {49}, + year = {2021}, + bdsk-url-1 = {https://doi.org/10.1214/20-AOS1961}} + +@inproceedings{Yang2015Nips, + author = {E. Yang and A. Lozano}, + booktitle = {Adv. Neur. Inf. Proc. Syst.}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + title = {Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso}, + year = {2015}} + +@article{RobustZoubir2012, + author = {Zoubir, Abdelhak M. and Koivunen, Visa and Chakhchoukh, Yacine and Muma, Michael}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + doi = {10.1109/MSP.2012.2183773}, + journal = {IEEE Signal Processing Magazine}, + keywords = {Tutorials;Robustness;Gaussian distribution;Context awareness;Noise measurement;Area measurement;Signal processing algorithms}, + number = {4}, + pages = {61--80}, + title = {Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts}, + volume = {29}, + year = {2012}, + bdsk-url-1 = {https://doi.org/10.1109/MSP.2012.2183773}} + +@inproceedings{Bhattacharjee2022RobustER, + author = {R. Bhattacharjee and M. Hopkins and A. Kumar and H. Yu and K. Chaudhuri}, + booktitle = {International Conference on Algorithmic Learning Theory}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + title = {Robust Empirical Risk Minimization with Tolerance}, + url = {https://api.semanticscholar.org/CorpusID:252683469}, + year = {2022}, + bdsk-url-1 = {https://api.semanticscholar.org/CorpusID:252683469}} + +@article{KabRauZh2015, + author = {M.~Kabanava and H.~Rauhut and H.~Zhang}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = {Eur. J. Appl. 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Vogel}, + cois = {The authors have declared that no competing interests exist.}, + crdt = {2022/03/30 17:05}, + date = {2022}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + dcom = {20220414}, + dep = {20220330}, + doi = {10.1371/journal.pone.0264507}, + edat = {2022/03/31 06:00}, + issn = {1932-6203 (Electronic); 1932-6203 (Linking)}, + jid = {101285081}, + journal = {PLoS One}, + jt = {PloS one}, + language = {eng}, + lid = {10.1371/journal.pone.0264507 {$[$}doi{$]$}; e0264507}, + lr = {20220509}, + mh = {*Gambling; *Holidays; Humans; Politics; Russia}, + mhda = {2022/04/15 06:00}, + number = {3}, + own = {NLM}, + pages = {e0264507}, + phst = {2021/04/16 00:00 {$[$}received{$]$}; 2022/02/12 00:00 {$[$}accepted{$]$}; 2022/03/30 17:05 {$[$}entrez{$]$}; 2022/03/31 06:00 {$[$}pubmed{$]$}; 2022/04/15 06:00 {$[$}medline{$]$}; 2022/03/30 00:00 {$[$}pmc-release{$]$}}, + pii = {PONE-D-21-12691}, + pl = {United States}, + pmc = {PMC8966999}, + pmcr = {2022/03/30}, + pmid = {35353827}, + pst = {epublish}, + pt = {Journal Article; Research Support, Non-U.S. Gov't}, + sb = {IM}, + status = {MEDLINE}, + title = {Reduced trolling on Russian holidays and daily US Presidential election odds.}, + volume = {17}, + year = {2022}, + bdsk-url-1 = {https://doi.org/10.1371/journal.pone.0264507}} + +@article{MishaliEldar2008, + author = {Mishali, M. and Eldar, Y. 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Ghahramani}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + title = {Learning from Labeled and Unlabeled Data with Label Propagation}, + year = {2002}} + +@incollection{kalliola2018learning, + author = {Kalliola, Aapo and Miche, Yoan and Oliver, Ian and Holtmanns, Silke and Atli, Buse and Lendasse, Amaury and Bjork, Kaj-Mikael and Akusok, Anton and Aura, Tuomas}, + booktitle = {Proceedings of ELM-2016}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + pages = {129--143}, + publisher = {Springer}, + title = {Learning Flow Characteristics Distributions with ELM for Distributed Denial of Service Detection and Mitigation}, + year = {2018}} + +@inproceedings{zemel2013learning, + author = {Zemel, Richard S and Wu, Yu and Swersky, Kevin and Pitassi, Toniann and Dwork, Cynthia}, + booktitle = {International Conference on Machine Learning}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + pages = {325--333}, + title = {Learning fair representations}, + year = {2013}} + +@inproceedings{Kakade2010, + address = {Sardinia, Italy}, + author = {S. M. Kakade and O. Shamir and K. Sridharan and A. Tewari}, + booktitle = {Proc. of the 13th Int. Conf. on Artif. Intel. Stat. (AISTATS)}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + title = {Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity}, + year = {2010}} + +@inproceedings{gmsIcassp2017, + address = {New Orleans (LA)}, + author = {N. Q. Tran and A. Jung}, + booktitle = icassp2017, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + pages = {5920--5924}, + title = {Learning conditional independence structure for high-dimensional uncorrelated vector processes}, + year = {2017}} + +@inproceedings{QuangJung2017, + author = {N. T. Quang and A. 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Raina and A. Madhavan and A.Y. 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Pereira and C.J. Burges and L. Bottou and K.Q. Weinberger}, + publisher = {Curran Associates, Inc.}, + title = {Large Scale Distributed Deep Networks}, + url = {https://proceedings.neurips.cc/paper/2012/file/6aca97005c68f1206823815f66102863-Paper.pdf}, + volume = {25}, + year = {2012}, + bdsk-url-1 = {https://proceedings.neurips.cc/paper/2012/file/6aca97005c68f1206823815f66102863-Paper.pdf}} + +@book{ll2012, + author = {L. Lov{\'a}sz}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + publisher = {American Mathematical Society}, + title = {Large Networks and Graph Limits}, + year = {2012}} + +@article{LargeGraphsLovasz, + author = {L. Lov\'{a}sz}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = {American Mathematical Society}, + title = {Large Networks and Graph Limits}, + volume = {60}, + year = {2012}} + +@inproceedings{pmlr-v202-busa-fekete23a, + author = {R. Busa-Fekete and A. 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Eldar and G. Kutyniok}, + pages = {210--268}, + publisher = cup, + title = {Introduction to the non-asymptotic analysis of random matrices}, + year = {2012}} + +@book{Polyak1987, + author = {Polyak, Boris T.}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + isbn = {0-911575-14-6}, + mrclass = {49-01 (65Kxx 90Cxx)}, + mrnumber = {1099605}, + note = {Translated from the Russian, With a foreword by Dimitri P. Bertsekas}, + pages = {xxvii+438}, + publisher = {Optimization Software, Inc., Publications Division, New York}, + series = {Translations Series in Mathematics and Engineering}, + title = {Introduction to optimization}, + year = {1987}} + +@book{StrangLinAlg2016, + address = {Wellesley, MA, USA}, + author = {G. 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Ullman}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + publisher = addwes, + title = {Introduction to automata theory, languages, and computation}, + year = {2001}} + +@book{Cormen:2022aa, + address = {Cambridge, MA, USA}, + author = {Cormen, Thomas H. and Leiserson, Charles E. and Rivest, Ronald L. and Stein, Clifford}, + date = {2022//}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + id = {6925615}, + isbn = {9780262367516}, + keywords = {Computer programming.; Computer algorithms.}, + publisher = {MIT Press}, + title = {Introduction to Algorithms}, + url = {http://ebookcentral.proquest.com/lib/aalto-ebooks/detail.action?docID=6925615}, + year = {2022}, + bdsk-url-1 = {http://ebookcentral.proquest.com/lib/aalto-ebooks/detail.action?docID=6925615}} + +@book{Molnar2019, + author = {C. Molnar}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + edition = {3}, + note = {{Accessed: August 1, 2025}}, + publisher = {Ebook}, + title = {Interpretable Machine Learning: A Guide for Making Black Box Models Explainable}, + url = {https://christophm.github.io/interpretable-ml-book/}, + year = {2025}, + bdsk-url-1 = {https://christophm.github.io/interpretable-ml-book/}} + +@article{InternetTimeSync1991, + author = {Mills, D.L.}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + doi = {10.1109/26.103043}, + journal = {IEEE Transactions on Communications}, + keywords = {IP networks;Protocols;Clocks;Synchronization;Internet;Web server;Network servers;Milling machines;Maintenance;Wire}, + number = {10}, + pages = {1482--1493}, + title = {Internet time synchronization: the network time protocol}, + volume = {39}, + year = {1991}, + bdsk-url-1 = {https://doi.org/10.1109/26.103043}} + +@article{Kuss:2016aa, + address = {Daria J Kuss, International Gaming Research Unit, Nottingham Trent University, Nottingham NG1 4BU, United Kingdom.; Daria J Kuss, International Gaming Research Unit, Nottingham Trent University, Nottingham NG1 4BU, United Kingdom.}, + author = {D.J. Kuss and O. Lopez-Fernandez}, + crdt = {2016/03/26 06:00}, + date = {2016 Mar 22}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + dcom = {20160325}, + dep = {20160322}, + doi = {10.5498/wjp.v6.i1.143}, + edat = {2016/03/26 06:00}, + issn = {2220-3206 (Print); 2220-3206 (Electronic); 2220-3206 (Linking)}, + jid = {101610480}, + journal = {World J Psychiatry}, + jt = {World journal of psychiatry}, + keywords = {Clinical studies; Gaming addiction; Internet Gaming Disorder; Internet addiction; Problematic Internet use; Therapy; Treatment; Treatment seekers}, + language = {eng}, + lid = {10.5498/wjp.v6.i1.143 {$[$}doi{$]$}}, + lr = {20220410}, + mhda = {2016/03/26 06:01}, + month = {Mar}, + number = {1}, + oto = {NOTNLM}, + own = {NLM}, + pages = {143--176}, + phst = {2015/08/29 00:00 {$[$}received{$]$}; 2015/11/19 00:00 {$[$}revised{$]$}; 2016/01/05 00:00 {$[$}accepted{$]$}; 2016/03/26 06:00 {$[$}entrez{$]$}; 2016/03/26 06:00 {$[$}pubmed{$]$}; 2016/03/26 06:01 {$[$}medline{$]$}}, + pl = {United States}, + pmc = {PMC4804263}, + pmid = {27014605}, + pst = {epublish}, + pt = {Journal Article}, + status = {PubMed-not-MEDLINE}, + title = {Internet addiction and problematic Internet use: A systematic review of clinical research.}, + volume = {6}, + year = {2016}, + bdsk-url-1 = {https://doi.org/10.5498/wjp.v6.i1.143}} + +@misc{cac_generativeai_2023, + author = {{Cyberspace Administration of China}}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + howpublished = {\url{https://www.chinalawtranslate.com/en/generative-ai/}}, + note = {Accessed: 2025-05-02}, + title = {Interim Measures for the Management of Generative Artificial Intelligence Services}, + year = {2023}} + +@article{Quan20009, + author = {Z. 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Williams}, + biburl = {https://www.bibsonomy.org/bibtex/21bf82350cc051367b8c7828a86c9dc0a/rwhender}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + file = {:gaussian process book.pdf:PDF}, + interhash = {72c030472023000e0bdeeb06081c3764}, + intrahash = {1bf82350cc051367b8c7828a86c9dc0a}, + keywords = {imported}, + owner = {wesley}, + publisher = {MIT Press}, + timestamp = {2019-03-04T22:29:38.000+0100}, + title = {Gaussian Processes for Machine Learning}, + year = {2006}} + +@phdthesis{bickson_PhD, + author = {D. Bickson}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + school = {The Hebrew University of Jerusalem}, + title = {{G}aussian Belief Propagation: Theory and Applications}, + year = {2009}} + +@article{BicksonPhD, + adsnote = {Provided by the SAO/NASA Astrophysics Data System}, + adsurl = {http://adsabs.harvard.edu/abs/2008arXiv0811.2518B}, + archiveprefix = {arXiv}, + author = {{Bickson}, D.}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + eprint = {0811.2518}, + journal = {ArXiv e-prints}, + keywords = {Computer Science - Information Theory}, + month = nov, + primaryclass = {cs.IT}, + title = {Gaussian Belief Propagation: Theory and Application}, + year = {2008}} + +@book{FeichtGaborBook, + address = {Boston}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + editor = {H. G. Feichtinger and T. Strohmer}, + publisher = {Birkh\"{a}user}, + title = {Gabor Analysis and Algorithms: Theory and Applications}, + year = {1998}} + +@book{FundWireless, + address = {USA}, + author = {D. Tse and P. Viswanath}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + isbn = {0521845270}, + publisher = {Cambridge University Press}, + title = {Fundamentals of Wireless Communication}, + year = {2005}} + +@book{Kay:1998aa, + address = {Upper Saddle River, NJ}, + author = {Kay, Steven M.}, + chapter = {xiv, 560 pages : illustrations ; 24 cm}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + db = {WorldCat}, + isbn = {013504135X; 9780135041352}, + la = {English}, + lk = {https://worldcat.org/title/223145408}, + publisher = {Prentice-Hall PTR}, + series = {Prentice-Hall signal processing series}, + title = {Fundamentals of statistical signal processing. 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Sch\"{o}lkopf and J. Platt and T. Hoffman}, + publisher = {MIT Press}, + title = {Fundamental Limitations of Spectral Clustering}, + url = {https://proceedings.neurips.cc/paper/2006/file/bdb6920adcd0457aa17b53b22963dad9-Paper.pdf}, + volume = {19}, + year = {2007}, + bdsk-url-1 = {https://proceedings.neurips.cc/paper/2006/file/bdb6920adcd0457aa17b53b22963dad9-Paper.pdf}} + +@article{XamplingSelSigProc, + author = {Moshe Mishali and Yonina C. Eldar}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = ieeejstsp, + number = {2}, + pages = {375--390}, + title = {From Theory to Practice: Sub-{N}yquist Sampling of Sparse Wideband Analog Signals}, + volume = {4}, + year = {2010}} + +@book{holler2014machine, + author = {Holler, Jan and Tsiatsis, Vlasios and Mulligan, Catherine and Avesand, Stefan and Karnouskos, Stamatis and Boyle, David}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + publisher = {Academic Press}, + title = {From Machine-to-machine to the Internet of Things: Introduction to a New Age of Intelligence}, + year = {2014}} + +@article{Metzler2014, + archiveprefix = {arXiv}, + author = {{Metzler}, C.~A. and {Maleki}, A. and {Baraniuk}, R.~G.}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + eprint = {1406.4175}, + journal = {ArXiv e-prints}, + month = {Jun.}, + title = {From Denoising to Compressed Sensing}, + year = {2014}} + +@inproceedings{pmlr-v162-dasgupta22a, + author = {Dasgupta, Sanjoy and Frost, Nave and Moshkovitz, Michal}, + booktitle = {Proceedings of the 39th International Conference on Machine Learning}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan}, + month = {17--23 Jul}, + pages = {4794--4815}, + pdf = {https://proceedings.mlr.press/v162/dasgupta22a/dasgupta22a.pdf}, + publisher = {PMLR}, + series = {Proceedings of Machine Learning Research}, + title = {Framework for Evaluating Faithfulness of Local Explanations}, + url = {https://proceedings.mlr.press/v162/dasgupta22a.html}, + volume = {162}, + year = {2022}, + bdsk-url-1 = {https://proceedings.mlr.press/v162/dasgupta22a.html}} + +@book{groebook, + author = {K.~Gr{\"o}chenig}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + publisher = {Birkh{\"a}user, Boston, MA}, + title = {Foundations of Time-Frequency Analysis}, + year = {2001}} + +@article{Donno2019, + author = {M. De Donno, K. Tange and N. Dragoni}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = {IEEE Access}, + pages = {150936--150948}, + title = {Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog}, + volume = {7}, + year = {2019}} + +@inproceedings{FLTrust2021, + author = {Cao, Xiaoyu and Fang, Minghong and Liu, Jia and Gong, Neil}, + booktitle = {Network and Distributed Systems Security (NDSS) Symposium 2021}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + doi = {10.14722/ndss.2021.24434}, + month = {01}, + title = {FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping}, + year = {2021}, + bdsk-url-1 = {https://doi.org/10.14722/ndss.2021.24434}} + +@inproceedings{Veldt2019, + author = {N. Veldt and C. Klymko and D.F. Gleich}, + booktitle = {Proc. SIAM Int. Conf. on Data Mining}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + month = {May}, + title = {Flow-Based Local Graph Clustering with Better Seed Set Inclusion}, + year = {2019}} + +@inproceedings{kalliola2015flooding, + author = {Kalliola, Aapo and Lee, Kiryong and Lee, Heejo and Aura, Tuomas}, + booktitle = {Cloud Networking (CloudNet), 2015 IEEE 4th International Conference on}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + organization = {IEEE}, + pages = {248--254}, + title = {Flooding DDoS mitigation and traffic management with software defined networking}, + year = {2015}} + +@inproceedings{FLARE2022, + address = {New York, NY, USA}, + author = {Wang, Ning and Xiao, Yang and Chen, Yimin and Hu, Yang and Lou, Wenjing and Hou, Y. Thomas}, + booktitle = {Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + doi = {10.1145/3488932.3517395}, + isbn = {9781450391405}, + keywords = {defense, federated learning, model poisoning attack}, + location = {Nagasaki, Japan}, + numpages = {13}, + pages = {946--958}, + publisher = {Association for Computing Machinery}, + series = {ASIA CCS '22}, + title = {FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations}, + url = {https://doi.org/10.1145/3488932.3517395}, + year = {2022}, + bdsk-url-1 = {https://doi.org/10.1145/3488932.3517395}} + +@inproceedings{Eic06a, + author = {M. Eichler}, + booktitle = {Proceedings of the $22$nd Conference on Uncertainty in Artificial Intelligence}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + title = {Fitting graphical interaction models to multivariate time series}, + year = {2006}} + +@book{BeckFOMBook, + address = {Philadelphia, PA, USA}, + author = {Beck, Amir}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + isbn = {1611974984}, + publisher = {SIAM-Society for Industrial and Applied Mathematics}, + title = {First-Order Methods in Optimization}, + year = {2017}} + +@incollection{NemYudFOM, + author = {Juditsky, A. and Nemirovski, A.}, + booktitle = {Optimization for Machine Learning}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + editor = {Sra, S. and Nowozin, S. and Wright, S.}, + pages = {121--147}, + publisher = {MIT press}, + title = {First-order methods for nonsmooth convex large-scale optimization, {I}: General purpose methods}, + year = {2011}} + +@book{HalmosFiniteDimVecSpace, + address = {New York, NY, USA}, + author = {Halmos, P. R.}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + publisher = {Springer-Verlag}, + title = {Finite-Dimensional Vector Spaces}, + year = {1974}} + +@book{HalmosFiniteDimVecSp, + address = {New York}, + author = {Paul R. Halmos}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + publisher = spring, + title = {{F}inite-{D}imensional {V}ector {S}paces}, + year = {1987}} + +@article{Jaotombo:2023aa, + address = {EMLYON Business School, Ecully, France.; Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.; Becker Friedman Institute, Chicago, IL, United States of America.; Aix Marseille University, CNRS, AMSE, Marseille, France.; Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.; Department of Public Health, Assistance Publique-Hopitaux de Marseille, Marseille, France.}, + auid = {ORCID: 0000-0002-8459-1818; ORCID: 0000-0002-6160-9341}, + author = {F. Jaotombo and L. Adorni and B. Ghattas and L. 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Satorras and J. Bruna}, + biburl = {https://www.bibsonomy.org/bibtex/29530e429e4089ec70bcbd0ad0ac359bc/dblp}, + booktitle = {ICLR (Poster)}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + ee = {https://openreview.net/forum?id=BJj6qGbRW}, + interhash = {44a569a4318844b01cf50723d8b7c7be}, + intrahash = {9530e429e4089ec70bcbd0ad0ac359bc}, + keywords = {dblp}, + publisher = {OpenReview.net}, + timestamp = {2019-07-26T11:43:51.000+0200}, + title = {Few-Shot Learning with Graph Neural Networks.}, + url = {http://dblp.uni-trier.de/db/conf/iclr/iclr2018.html#SatorrasE18}, + year = 2018, + bdsk-url-1 = {http://dblp.uni-trier.de/db/conf/iclr/iclr2018.html#SatorrasE18}} + +@article{liu_fmp12, + author = {Y. Liu and V. Chandrasekaran and A. Anandkumar and A. S. Willsky}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = {IEEE Trans. Signal Processing}, + month = {Aug.}, + number = {8}, + pages = {4135--4150}, + title = {Feedback Message Passing for Inference in {G}aussian Graphical Models}, + volume = {60}, + year = {2012}} + +@inproceedings{Smith2017, + author = {Smith, V. and Chiang, C.-K. and Sanjabi, M. and Talwalkar, A.S.}, + booktitle = {Advances in Neural Information Processing Systems}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + title = {Federated {M}ulti-{T}ask {L}earning}, + url = {https://proceedings.neurips.cc/paper/2017/file/6211080fa89981f66b1a0c9d55c61d0f-Paper.pdf}, + volume = {30}, + year = {2017}, + bdsk-url-1 = {https://proceedings.neurips.cc/paper/2017/file/6211080fa89981f66b1a0c9d55c61d0f-Paper.pdf}} + +@article{FedLearnBlockchain, + author = {Pokhrel, Shiva Raj and Choi, Jinho}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + doi = {10.1109/TCOMM.2020.2990686}, + journal = {IEEE Transactions on Communications}, + number = {8}, + pages = {4734--4746}, + title = {Federated Learning With Blockchain for Autonomous Vehicles: Analysis and Design Challenges}, + volume = {68}, + year = {2020}, + bdsk-url-1 = {https://doi.org/10.1109/TCOMM.2020.2990686}} + +@article{Yang2020, + author = {K. Yang, T. Jiang, Y. Shi and Z. Ding}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = {IEEE Transactions on Wireless Communications}, + month = {Mar.}, + number = {3}, + pages = {2022--2035}, + title = {Federated Learning via Over-the-Air Computation}, + volume = {19}, + year = {2020}} + +@book{JuLiveProject2021, + author = {A. Jung}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + publisher = {Manning}, + title = {Federated Learning over Networks for Pandemics}, + year = {2021}} + +@article{Sheller:2020aa, + author = {Sheller, Micah J. and Edwards, Brandon and Reina, G. Anthony and Martin, Jason and Pati, Sarthak and Kotrotsou, Aikaterini and Milchenko, Mikhail and Xu, Weilin and Marcus, Daniel and Colen, Rivka R. and Bakas, Spyridon}, + date = {2020/07/28}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + doi = {10.1038/s41598-020-69250-1}, + id = {Sheller2020}, + isbn = {2045-2322}, + journal = {Scientific Reports}, + number = {1}, + pages = {12598}, + title = {Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data}, + url = {https://doi.org/10.1038/s41598-020-69250-1}, + volume = {10}, + year = {2020}, + bdsk-url-1 = {https://doi.org/10.1038/s41598-020-69250-1}} + +@book{JungFLBook, + author = {A. Jung}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-06 16:52:09 +0300}, + publisher = {Springer Nature}, + title = {Federated Learning: From Theory to Practice}, + year = {2025}} + +@inproceedings{Sarchesh2021, + author = {Y. SarcheshmehPour and M. Leinonen and A. Jung}, + booktitle = {Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), preprint: https://arxiv.org/pdf/2010.14159.pdf}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + title = {Federated Learning from Big Data over Networks}, + year = {2021}} + +@article{Cheng2020, + author = {Y. Cheng and Y. Liu and T. Chen and Q. Yang}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = {Communications of the ACM}, + month = {Dec.}, + number = {12}, + pages = {33--36}, + title = {Federated Learning for Privacy-Preserving AI}, + volume = {63}, + year = {2020}} + +@article{LiTalwalkar2020, + author = {T. {Li} and A. K. {Sahu} and A. {Talwalkar} and V. {Smith}}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + doi = {10.1109/MSP.2020.2975749}, + issn = {1558-0792}, + journal = {IEEE Signal Processing Magazine}, + keywords = {data analysis;data privacy;learning (artificial intelligence);remote devices;siloed data centers;mobile phones;hospitals;heterogeneous networks;potentially massive networks;large-scale machine learning;privacy-preserving data analysis;federated learning;training statistical models;Distributed databases;Data models;Training data;Data privacy;Privacy;Predictive models;Machine learning}, + month = {May}, + number = {3}, + pages = {50--60}, + title = {Federated Learning: Challenges, Methods, and Future Directions}, + volume = {37}, + year = {2020}, + bdsk-url-1 = {https://doi.org/10.1109/MSP.2020.2975749}} + +@book{FLBookLudwig, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + editor = {H. Ludwig and N. Baracaldo}, + publisher = {Springer}, + title = {Federated Learning: A Comprehensive Overview of Methods and Applications}, + year = {2022}} + +@techreport{lecnotesfl, + author = {A. Jung}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + institution = {Aalto University}, + title = {Federated {L}earning}, + type = {Lecture notes of the course {CS}-{E}4740}, + year = {2023}} + +@book{FLBookYang, + author = {Q. Yang and Y. Liu and Y. Cheng and Y. Kang and T. Chen and H. Yu}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + edition = {1}, + publisher = {Springer}, + title = {Federated Learning}, + year = {2022}} + +@article{Deng:2025aa, + address = {College of Information Technology, Anqing Vocational and Technical College, Anqing, China.; Faculty of Information Technology, City University Malaysia, Petaling Jaya, Malaysia.; College of Information Engineering, Yangzhou University, Yangzhou, China.; Faculty of Information Technology, City University Malaysia, Petaling Jaya, Malaysia.}, + auid = {ORCID: 0009-0009-8196-9481}, + author = {Deng, Zilong and Wang, Yizhang and Alobaedy, Mustafa Muwafak}, + crdt = {2025/06/12 13:43}, + date = {2025}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + dcom = {20250612}, + dep = {20250612}, + doi = {10.1371/journal.pone.0326145}, + edat = {2025/06/12 18:26}, + issn = {1932-6203 (Electronic); 1932-6203 (Linking)}, + jid = {101285081}, + journal = {PLoS One}, + jt = {PloS one}, + language = {eng}, + lid = {10.1371/journal.pone.0326145 {$[$}doi{$]$}; e0326145}, + lr = {20250614}, + mh = {Cluster Analysis; *Algorithms; Humans}, + mhda = {2025/06/12 18:27}, + number = {6}, + own = {NLM}, + pages = {e0326145}, + pii = {PONE-D-24-32464}, + pl = {United States}, + pmc = {PMC12161523}, + pmcr = {2025/06/12}, + pmid = {40504823}, + pst = {epublish}, + pt = {Journal Article}, + sb = {IM}, + status = {MEDLINE}, + title = {Federated k-means based on clusters backbone.}, + volume = {20}, + year = {2025}, + bdsk-url-1 = {https://doi.org/10.1371/journal.pone.0326145}} + +@misc{ftc1914, + author = {United States Congress}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + howpublished = {U.S. Code}, + note = {15 U.S.C. {\S}{\S} 41-58}, + title = {Federal Trade Commission Act of 1914}, + url = {https://www.ftc.gov/enforcement/statutes/federal-trade-commission-act}, + year = {1914}, + bdsk-url-1 = {https://www.ftc.gov/enforcement/statutes/federal-trade-commission-act}} + +@article{ladha2011feature, + author = {Ladha, L and Deepa, T}, + date-added = {2025-10-05 21:58:33 +0200}, + date-modified = {2025-10-05 21:58:33 +0200}, + journal = {International journal on computer science and engineering}, + number = {5}, + pages = {1787--1797}, + publisher = {Engg Journals Publications}, + title = {Feature selection methods and algorithms}, + volume = {3}, + year = {2011}} + +@inproceedings{FScoreFeatSel, + author = {S. 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Kleinbaum and Mitchel Klein}, + title = {Survival Analysis: A Self-Learning Text}, + edition = {3}, + publisher = {Springer}, + year = {2012}, + isbn = {978-1441966452} +} \ No newline at end of file