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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…
math.ST2026
means with learned metrics
Pablo Groisman, Matthieu Jonckheere, Jordan Serres +1
We study the Fréchet means of a metric measure space when both the measure and the distance are unknown and have to be estimated. We prove a general result that states that the…