Decentralized Federated Learning: A Survey and Perspective
Purdue University West Lafayette · Lehigh University · +1 more institution
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, a review of the methodology, challenges, and variants of CFL is conducted, laying the background of DFL. Then, a systematic and detailed perspective on DFL is…
Citation impact
- FWCI
- 63.74
- Percentile
- 100%
- References
- 266
Authors
5Topics & keywords
- Computer science
- Overhead (engineering)
- Network topology
- Perspective (graphical)
- Federated learning
- Telecommunications network
- Distributed computing
- Order (exchange)
- Reduced inequalities