Distributed Learning with Adversarial Gradient Perturbations
arXiv:2605.03313v1 Announce Type: new
Abstract: Privacy concerns in distributed learning often lead clients to return intentionally altered gradient information. We consider the problem of learning convex and $L$-smooth functions under adversarial gra…