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Hong Zhang 0059

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◁ ▷ joint publications with coauthor community group 1

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Publications

2024
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Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. ACM Trans. Intell. Syst. Technol. 15(6): 122:1-122:28 (2024)
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  - journals/corr/abs-2408-05678
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Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data. CoRR abs/2408.05678 (2024)
2023
[j2]
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Hao Tian, Hong Zhang, Juncheng Jia, Mianxiong Dong, Kaoru Ota:
FedBroadcast: Exploit Broadcast Channel for Fast Convergence in Wireless Federated Learning. IEEE Internet Things J. 10(5): 4652-4663 (2023)
[c3]
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Yihui Shen, Hong Zhang, Juncheng Jia, Tao Deng, Zhenhua Wang, Zhiwei Teng, Mianxiong Dong:
Pipelined Training and Transmission for Federated Learning. ICPADS 2023: 435-442
2022
[j1]
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  - journals/tetci/ZhangTDOJ22
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Hong Zhang, Hao Tian, Mianxiong Dong, Kaoru Ota, Juncheng Jia:
FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks. IEEE Trans. Emerg. Top. Comput. Intell. 6(6): 1368-1377 (2022)
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Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. IJCAI 2022: 2776-2782
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  - journals/corr/abs-2204-11536
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Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. CoRR abs/2204.11536 (2022)
2021
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  - conf/cf/ZhouTZ0DJ21
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Chendi Zhou, Hao Tian, Hong Zhang, Jin Zhang, Mianxiong Dong, Juncheng Jia:
TEA-fed: time-efficient asynchronous federated learning for edge computing. CF 2021: 30-37

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.