Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

Accenture Labs Federated Learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggregator device is selected to enable hierarchical learning, lead…

[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition

A C# port of shadowsocks

A benchmarking utility that uses Tensorflow Federated to run simulations. Includes the experiments from the Google Research repo.

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

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

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…