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cs.LG2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights
Adnan Ben Mansour, Gaia Carenini, Alexandre Duplessis
The future of machine learning lies in moving data collection along with training to the edge. Federated Learning, for short FL, has been recently proposed to achieve this goal. Th…
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…