IEEE

Protecting Your Attention During Distributed Graph Learning: Efficient Privacy-Preserving Federated Graph Attention Network

Abstract: Federated graph attention networks (FGATs) are gaining prominence for enabling collaborative and privacy-preserving graph model training. The attention mechanisms in FGATs enhance the focus ...
IEEE

Lightweight and Dynamic Privacy-Preserving Federated Learning via Functional Encryption

Abstract: Federated Learning (FL) is a distributed machine learning framework that allows multiple clients to collaboratively train an intermediate model with keeping data local, however, sensitive ...
Johns Hopkins Medicine

AI-Based Liquid Biopsy May Detect Liver Fibrosis, Cirrhosis and Chronic Disease Signals

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...