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cs.LG2025
Multi-objective methods in Federated Learning: A survey and taxonomy
Maria Hartmann, Grégoire Danoy, Pascal Bouvry
The Federated Learning paradigm facilitates effective distributed machine learning in settings where training data is decentralized across multiple clients. As the popularity of th…
cs.LG2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences
Maria Hartmann, Grégoire Danoy, Pascal Bouvry
Federated Learning (FL) is a distributed machine learning strategy, developed for settings where training data is owned by distributed devices and cannot be shared. FL circumvents…