Type
Feature
Description
Hey everyone,
I've been working on partitioning datasets for federated learning use cases where the default partitioning functions only support built-in datasets. Specifically, I noticed most existing examples focus on image datasets,
so I put together an approach for partitioning time series data using Dirichlet non-IID partitioning.
Would this be something worth contributing as an example? Happy to share what I have and adjust based on feedback.
Planned Implementation
No response
Additional Context
No response
Type
Feature
Description
Hey everyone,
I've been working on partitioning datasets for federated learning use cases where the default partitioning functions only support built-in datasets. Specifically, I noticed most existing examples focus on image datasets,
so I put together an approach for partitioning time series data using Dirichlet non-IID partitioning.
Would this be something worth contributing as an example? Happy to share what I have and adjust based on feedback.
Planned Implementation
No response
Additional Context
No response