Byzantine Fault Tolerance Python Packages

byzfl

ByzFL: A Python library for robust federated learning, offering Byzantine-resilient aggregators, attack simulations, and ML pipelines for distributed systems. Compatible with PyTorch and NumPy.

memora-swarm

Bit-exact Byzantine-fault-tolerant state layer for federated learning and edge/defence swarms — client SDK, framework adapters, docs & validation battery for the Memora consensus engine.

qora-fl

byzantine-tolerant aggregation primitives for federated learning, with deterministic and reputation-aware options.

memora-autogen

Bit-exact Byzantine-fault-tolerant state layer for federated learning and edge/defence swarms — client SDK, framework adapters, docs & validation battery for the Memora consensus engine.

memora-crewai

Bit-exact Byzantine-fault-tolerant state layer for federated learning and edge/defence swarms — client SDK, framework adapters, docs & validation battery for the Memora consensus engine.

memora-langchain

Bit-exact Byzantine-fault-tolerant state layer for federated learning and edge/defence swarms — client SDK, framework adapters, docs & validation battery for the Memora consensus engine.

acfa-flower

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.

byzpy

Unified Python framework for Byzantine-robust learning

lagrange-memory

Byzantine Fault Tolerant consensus middleware that protects AI agent memory from poisoning attacks (MINJA, indirect prompt injection). Every write is validated by three independent nodes; stored only on 2/3 agreement.

blades

⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

qres-raas

Resource-Aware Agentic Swarm