arXiv cs.LG
· Papers
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
arXiv:2409.17754v2 Announce Type: replace Abstract: Federated Learning (FL) emerges as a distributed machine learning approach that addresses privacy concerns by training AI models locally on devices. Decentralized Federated Learning (DFL) extends the FL paradigm by eliminating the central server, thereby enhancing sca