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20222026
most citedRefined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data

6 citations · 8 across the 7 of their papers we have counts for

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cs.LG2026

Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness

Thomas Boudou, Batiste Le Bars, Nirupam Gupta +1

Recent work has established a fundamental trilemma between Byzantine robustness, local differential privacy (LDP), and optimization error in distributed learning. We show that this…

cs.LG2026

Disparate Impact in Synthetic Data Generation

Paul Andrey, Michaël Perrot, Batiste Le Bars +1

We revisit the fairness notion of disparate impact for synthetic data generation (SDG), that assesses whether the utility of generated records is the same across sensitive groups.…