Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm Paper Link
Federated Learning in Smart Cities: A Comprehensive Survey Paper link
Towards Fair and Privacy-Preserving Federated Deep Models Paper Link
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning Paper Link
POSEIDON: Privacy-Preserving Federated Neural Network Learning
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning
SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning
DRMI: A Dataset Reduction Technology based on Mutual Information for Black-box Attacks
Locally Differentially Private Analysis of Graph Statistics
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning [Neil Gong]