2 papers
cs.LG2026
Optimization Trade-offs in Asynchronous Federated Learning: A Stochastic Networks Approach
Abdelkrim Alahyane, Céline Comte, Matthieu Jonckheere
Synchronous federated learning scales poorly due to the straggler effect. Asynchronous algorithms increase the update throughput by processing updates upon arrival, but they introd…
cs.LG2025
Optimizing Asynchronous Federated Learning: A Delicate Trade-Off Between Model-Parameter Staleness and Update Frequency
Abdelkrim Alahyane, Céline Comte, Matthieu Jonckheere +1
Synchronous federated learning (FL) scales poorly with the number of clients due to the straggler effect. Algorithms like FedAsync and GeneralizedFedAsync address this limitation b…