ByzFL

Python library for Byzantine-resilient federated learning, compatible with PyTorch and NumPy.

ByzFL implements state-of-the-art robust aggregators (Trimmed Mean, Geometric Median, Krum, Centered Clipping, etc.) and pre-aggregators (NNM, Bucketing, ARC) as well as Byzantine attack strategies (IPM, ALIE, Sign Flipping, Mimic, …) fully compatible with PyTorch tensors and NumPy arrays. It also ships a complete federated learning simulation pipeline for systematic benchmarking under adversarial conditions.