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stat.ME2026
Convergence of projected stochastic natural gradient variational inference for various step size and sample or batch size schedules
Thomas Guilmeau, Hadrien Hendrikx, Florence Forbes
Stochastic natural gradient variational inference (NGVI) is a popular and efficient algorithm for Bayesian inference. Despite empirical success, the convergence of this method is s…
cs.LG2026
From Inexact Gradients to Byzantine Robustness: Acceleration and Optimization under Similarity
Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx
Standard federated learning algorithms are vulnerable to adversarial nodes, a.k.a. Byzantine failures. To solve this issue, robust distributed learning algorithms have been develop…