Synopses & Reviews
Synopsis
Federated Learning Research: Trends and Bibliometric Analysis.- A Review of Privacy-preserving Federated Learning for the Internet-of-Things.- Differentially Private Federated Learning: Algorithm, Analysis and Optimization.- Advancements of federated learning towards privacy preservation: from federated learning to split learning.- PySyft: A Library for Easy Federated Learning.- Federated Learning Systems for Healthcare: Perspective and Recent Progress.- Towards Blockchain-Based Fair and Trustworthy Federated Learning Systems.- An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies.