Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
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 ...
IEEE

Distributed Federated Deep Learning in Clustered Internet of Things Wireless Networks With Data Similarity-Based Client Participation

Abstract: Federated deep learning is the method of choice for performing deep learning in environments where data sharing is not allowed due to privacy/security issues. However, all of the solutions ...