4 citations · 12 across the 9 of their papers we have counts for
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cs.LG2023★ 4 cited
Compression with Exact Error Distribution for Federated Learning
Mahmoud Hegazy, Rémi Leluc, Cheuk Ting Li +1
Compression schemes have been extensively used in Federated Learning (FL) to reduce the communication cost of distributed learning. While most approaches rely on a bounded variance…
cs.LG2023★ 2 cited
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management
Rémi Leluc, Elie Kadoche, Antoine Bertoncello +1
Maintaining a balance between the supply and demand of products by optimizing replenishment decisions is one of the most important challenges in the supply chain industry. This pap…
math.NA2023
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence
Rémi Leluc, François Portier, Johan Segers +1
A novel linear integration rule called is proposed in which nearest neighbor estimates act as control variates to speed up the convergence rate of the…