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cs.LG2024
Equitable Federated Learning with Activation Clustering
Antesh Upadhyay, Abolfazl Hashemi
Federated learning is a prominent distributed learning paradigm that incorporates collaboration among diverse clients, promotes data locality, and thus ensures privacy. These clien…
cs.LG2024★ 1 cited
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi +1
A novel Decentralized Noisy Model Update Tracking Federated Learning algorithm (FedNMUT) is proposed that is tailored to function efficiently in the presence of noisy communication…