SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning-Reference-Cited by-同舟云学术

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SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning

Published:2021-07 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)
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Author:

Deng Yongheng,Lyu Feng,Ren Ju,Zhang Yongmin,Zhou Yuezhi,Zhang Yaoxue,Yang Yuanyuan

Funder

National Natural Science Foundation of China

National Key R&D Program of China

CAST

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9546301/9546401/09546457.pdf?arnumber=9546457

Cited by 43 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. Enabling federated learning across the computing continuum: Systems, challenges and future directions;Future Generation Computer Systems;2024-11

2. Filling the Missing: Exploring Generative AI for Enhanced Federated Learning Over Heterogeneous Mobile Edge Devices;IEEE Transactions on Mobile Computing;2024-10

3. Lightweight and privacy-preserving hierarchical federated learning mechanism for artificial intelligence-generated image content;Journal of Real-Time Image Processing;2024-08

4. Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds;IEEE Transactions on Parallel and Distributed Systems;2024-08

5. Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning;IEEE Transactions on Parallel and Distributed Systems;2024-07

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