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  • Yonsei University
  • Seoul, Republic of Korea

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tae73/README.md

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Hi there 👋

I'm a M.S candidate in department of Biomedical Systems Informatics, Yonsei University College of Medicine.

My research interest focuses on developing models and algorithms for tackling callenges in applying data science such as AI to real-world healthcare domain.

Specifically, I mainly focus on the following methods:

  • Federated learning
  • Interpretable machine learning
  • Continual learning and Transfer learning
  • Semi-supervised / self-supervised learning

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  1. federated federated Public

    Forked from google-research/federated

    A collection of Google research projects related to Federated Learning and Federated Analytics.

    Python

  2. Federated-Learning-Base Federated-Learning-Base Public

    Basic implementation of federated learning with Tensorflow 2.x

    Python 1

  3. Personalized-Progressive-Federated-Learning Personalized-Progressive-Federated-Learning Public

    This repository is an official Tensorflow 2 implementation of Personalized Progressive Federated Learning with Client-Specific Vertical Features

    Python 1