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gradient-aggregation

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ArthurDanjou / Byzantine-Robust-Aggregation-Reproduction

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Reproduction of "Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering" (Xu et al., 2022) — implementing Multi-Krum, SignGuard, A Little Is Enough, and Fall of Empires in PyTorch. Also includes MoNNA (Farhadkhani et al., ICML 2023).

deep-learning pytorch reproducibility adversarial-attacks federated-learning distributed-learning byzantine-robust monna signguard multi-krum gradient-aggregation farhadkhani
  • Updated May 20, 2026
  • Python

mgillr / acfa-rs

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Train one machine-learning model across many parties who don't trust each other. A dishonest minority can't skew the result, and every party computes byte-for-byte identical output on any CPU or architecture (big-endian included) — so each round ships a receipt anyone can re-check offline and reproduce exactly. Rust; drop-in for Flower.

rust distributed-systems cross-platform fault-tolerance bft crdt reproducibility merkle-tree flower adversarial-machine-learning federated-learning determinism machine-learning-security verifiable-computation byzantine-fault-tolerance model-poisoning robust-aggregation byzantine-robustness gradient-aggregation krum
  • Updated Aug 22, 2026
  • Rust

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