2024
FED-SDS: Adaptive Structured Dynamic Sparsity for Federated Learning Under Heterogeneous Clients
ICASSP 2024accepted
Federated Learning (FL) is a widely utilized distributed learning methodology that facilitates real-time continuous learning while preserving client privacy. In most FL implementations, it is assumed that all edge clients possess sufficient computational capabilities to participate in the training o…