SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning. - Paul Mangold; Sergey Samsonov; Safwan Labbi; Ilya Levin; Réda Alami; Alexey Naumov; Eric Moulines (NeurIPS, 2024)

SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning. - Paul Mangold; Sergey Samsonov; Safwan Labbi; Ilya Levin; Réda Alami; Alexey Naumov; Eric Moulines (CoRR, 2024)

Joint Channel Selection using FedDRL in V2X. - Lorenzo Mancini; Safwan Labbi; Karim Abed-Meraim; Fouzi Boukhalfa; Alain Durmus; Paul Mangold; Eric Moulines (CoRR, 2024)

Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents. - Safwan Labbi; Daniil Tiapkin; Lorenzo Mancini; Paul Mangold; Eric Moulines (AISTATS, 2025)

On Global Convergence Rates for Federated Policy Gradient under Heterogeneous Environment. - Safwan Labbi; Paul Mangold; Daniil Tiapkin; Eric Moulines (CoRR, 2025)