Federated Learning

Adaptive Collaboration for Online Personalized Distributed Learning with Heterogeneous Clients
We study the problem of online personalized decentralized learning with NNN statistically heterogeneous clients collaborating to …
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Federated Majorize-Minimization: Beyond Parameter Aggregation
This paper proposes a unified approach for designing stochastic optimization algorithms that robustly scale to the federated learning …
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In-Depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
We analyze a distributed algorithm to compute a low-rank matrix factorization on NNN clients, each holding a local dataset …
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