B. Sarada

Dynamic Subgroup Adaptive Secure Multi-Modal Heterogeneous Federated Learning (DSAS-MHFL)

Federated Learning (FL) enables remote clients to collaborate on model training while keeping their data private. They do this without sharing raw data. However, current FL systems have significant limitations in real-world scenarios. They assume data distributions are the same, that client participation is constant, a...