Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks

Author:

Wang Su1,Hosseinalipour Seyyedali2,Aggarwal Vaneet1,Brinton Christopher G.1,Love David J.1,Su Weifeng2,Chiang Mung1

Affiliation:

1. Purdue University,USA

2. University at Buffalo-SUNY,USA

Funder

National Science Foundation

DARPA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications

Cited by 4 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. A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Multi-Source to Multi-Target Decentralized Federated Domain Adaptation;IEEE Transactions on Cognitive Communications and Networking;2024-06

3. A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward;IEEE Access;2024

4. EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning;2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON);2023-09-11

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