Tech Xplore

New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
IEEE

FedSGProx: Mitigating Data Heterogeneity and Isolated Nodes in Graph Federated Learning

Abstract: Graphs capture complex node interactions and are a fundamental tool for machine learning. Graph Federated Learning (GFL) is a method that allows multiple clients to collaboratively train a ...
Scientific American

The next AI revolution could start with world models

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
IEEE

Robust Federated Learning Algorithm Based on Chaotic Encryption and Dual-Server Detection

Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...