Gradient updates in federated learning remain vulnerable to Man-in-the-Middle interception and model poisoning attacks

gradient updates remain exploitable: Man-in-the-Middle (MitM) interception exposes updates in transit, while model poisoning corrupts global convergence

http://arxiv.org/abs/2608.27108v1