1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026
CovFedAvg: Local Low-Loss Curves and Federated Model Selection
Federico Lucchetti, Marcus Völp
Clients observing different parts of a prediction task may learn locally equivalent models with incompatible behavior outside their observed support. We study whether redundant mod…
cs.LG2022★ 1 cited
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
Federico Lucchetti, Jérémie Decouchant, Maria Fernandes +2
Federated learning allows clients to collaboratively train models on datasets that are acquired in different locations and that cannot be exchanged because of their size or regulat…