Decentralized Federated Learning: A Survey and Perspective

arXiv:2306.01603v2 Announce Type: replace
Abstract: Federated learning (FL) has been gaining attention for its ability to share knowledge while maintaining user data, protecting privacy, increasing learning efficiency, and reducing communication overhead. Decentralized FL (DFL) is a decentralized network architecture that eliminates the need for a central server in contrast to centralized FL (CFL). DFL enables direct communication between clients, resulting in significant savings in communication resources. In this paper, a comprehensive survey and profound perspective are provided for DFL. First, …

abstract architecture arxiv attention communication contrast cs.cy cs.dc cs.lg cs.ni data decentralized efficiency federated learning knowledge network network architecture perspective privacy server survey type user data while