FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering

no code implementations • 7 Mar 2024 • Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng

Clustered federated learning (CFL) addresses this challenge by grouping clients based on the similarity of their data distributions.

Federated Learning

FedFair^3: Unlocking Threefold Fairness in Federated Learning

no code implementations • 29 Jan 2024 • Simin Javaherian, Sanjeev Panta, Shelby Williams, Md Sirajul Islam, Li Chen

In addition to having a fair client-selection strategy, we enforce an equitable number of rounds for client participation and ensure a fair accuracy distribution over the clients.

Fairness Federated Learning