Federated learning + secure aggregation + zero-knowledge norm-bound defence
A bank-agnostic fraud-intelligence layer that learns risk thresholds across banks without any bank sharing its data — with the evaluation that says exactly how far that claim has been tested.
Federated learning sentiment analysis with AT-FedAvg — adaptive trust-aware aggregation across IMDB, Sentiment140 & Amazon. BiLSTM · PyTorch · Flower · FastAPI · Streamlit
Official implementation of ETD-FGL: a robust federated graph learning framework for non-IID and adversarial settings.
Reproducible TDAW research lab for history-aware Byzantine-robust federated MNIST training, with a Rust core, Flower modes, and a Next.js dashboard.
Dual-Mode SecureIDS is a cybersecurity research prototype for centralized and federated intrusion detection using CICIDS2018 and UNSW-NB15, hierarchical attack-family classification, robust aggregation, SHA-256 integrity verification, Gradient × Input explainability, and a live Streamlit demonstration.
Deterministic fixed-point Byzantine-robust aggregation receipts with explicit coordinate witnesses and independent pairwise-rank replay.
Decentralized federated reinforcement learning with gossip, ADMM consensus and Byzantine robustness
Information-theoretic framework for measuring trust in AI systems. Code accompanying Dong (2026), Communications AI & Computing.
Cross-silo federated learning on Fed-ISIC2019 (6 real hospital centres): FedAvg/FedProx/SCAFFOLD/FedAdam, DP-SGD with an independent RDP accountant, membership-inference and poisoning attacks, secure + robust aggregation, 50x update compression, and a real Raspberry Pi 5 edge client over Flower/gRPC.
Eight-peer Adult benchmark of non-IID learning, poisoned updates, robust aggregation and membership auditing.
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.
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