Murali Kodialam

CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings

We propose CLoVE (Clustering of Loss Vector Embeddings), a novel algorithm for Clustered Federated Learning (CFL). In CFL, clients are naturally grouped into clusters based on their data distribution. However, identifying these clusters is challenging, as client assignments are unknown. CLoVE utiliz…