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cs.LG2022
FedControl: When Control Theory Meets Federated Learning
Adnan Ben Mansour, Gaia Carenini, Alexandre Duplessis +1
To date, the most popular federated learning algorithms use coordinate-wise averaging of the model parameters. We depart from this approach by differentiating client contributions…
stat.ML2022★ 1 cited
Federated Learning Aggregation: New Robust Algorithms with Guarantees
Adnan Ben Mansour, Gaia Carenini, Alexandre Duplessis +1
Federated Learning has been recently proposed for distributed model training at the edge. The principle of this approach is to aggregate models learned on distributed clients to ob…