Discover FedSQ, a method improving federated learning stability and accuracy by optimized weight averaging with fixed gating masks in decentralized AI.
Discover Phyelds, a Pythonic framework for aggregate computing that integrates with machine learning for sensor networks, robotics, and federated learning.
Explore SABLE, a novel semantics-aware backdoor attack in federated learning that uses natural triggers to evade detection and compromise model integrity.