LiBRA: Logit Fingerprints for Byzantine-Robust Client Selection in Federated Learning.

arXiv:2610.27357v1 Announce Type: cross Abstract: Byzantine-robust aggregation shields federated learning from malicious updates, but the rules that filter out suspect updates do so by comparing clients' parameter vectors. That comparison requires access to ev