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Kevin Scaman
Researcher
INRIA
To be completed
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Latest
Adaptive Collaboration for Online Personalized Distributed Learning with Heterogeneous Clients
In-Depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
In-Depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
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