Batiste Le Bars

2 papers indexed

arxivcs.LGcs.CRstat.ML2026-07-01

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

Thomas Boudou, Batiste Le Bars, Nirupam Gupta, Aurélien Bellet

Recent work has established a fundamental trilemma between Byzantine robustness, local differential privacy (LDP), and optimization error in distributed learning. We show that this trilemma does not universally extend to generalization error, but instead depends critically on the…

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arxivcs.LGmath.OCstat.ML2026-06-26

Dangerous Liaisons of Convex Learning and Non-Affine Aggregation

Thomas Boudou, Batiste Le Bars, Nirupam Gupta, Aurélien Bellet

Last-iterate convergence and generalization guarantees in first-order convex learning hinge on the monotonicity of the update operator. While linear averaging preserves the monotonicity of gradient updates, this property is often violated when gradients are aggregated non-affinel…

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