Decentralized Federated Learning: A Survey and Perspective
Author:
Affiliation:
1. College of Engineering, Purdue University, West Lafayette, IN, USA
2. Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA
3. Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA
Funder
Office of Naval Research
Directorate for Computer and Information Science and Engineering
Division of Computer and Network Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6488907/6702522/10542323.pdf?arnumber=10542323
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds;IEEE Transactions on Parallel and Distributed Systems;2024-08
2. Loss-Based Decentralized Federated Learning for Robust IoT Intrusion Detection System;2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2024-07-04
3. FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication;ICC 2024 - IEEE International Conference on Communications;2024-06-09
4. Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis;ICC 2024 - IEEE International Conference on Communications;2024-06-09
5. FedStar Caching: Decision Center Assisted Federated Cooperative Edge Caching;2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS);2024-05-15
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