AI RESEARCH
Practical Validity Conditions for Byzantine-Tolerant Federated Learning
arXiv CS.LG
•
ArXi:2605.15887v1 Announce Type: new Robust aggregation is the core operation in Byzantine-tolerant federated learning. To ensure the quality of aggregation independently of data distribution or attacks, validity conditions are needed. They provide geometric guarantees of where the output of the aggregation must lie. The widespread convex validity requires the output to lie in the convex hull of the honest vectors.