arXiv stat.ML
· Papers
Unveiling the Non-Monotonic Effect of Privacy on Generalization under Byzantine Robustness
arXiv:2607.01492v1 Announce Type: cross Abstract: 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 critica