Personalized Federated Learning via Backbone Self-Distillation-Reference-Cited by-同舟云学术

Personalized Federated Learning via Backbone Self-Distillation

Published:2023-12-06 Issue: Volume:34 Page:1-7
ISSN:
Container-title:ACM Multimedia Asia 2023
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Author:

Wang Pengju¹^ORCID,Liu Bochao¹^ORCID,Zeng Dan²^ORCID,Yan Chenggang³^ORCID,Ge Shiming¹^ORCID

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences, China and School of Cyber Security, University of Chinese Academy of Sciences, China

2. School of Communication and Information Engineering, Shanghai University, China

3. School of Automation, Hangzhou Dianzi University, China

Funder

National Key Research and Development Program of China

Beijing Natural Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3595916.3626371

Reference65 articles.

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3. Sebastian Caldas , Sai Meher Karthik Duddu , Peter Wu , 2018 . LEAF : A Benchmark for Federated Settings . arXiv:1812.01097 (2018). Sebastian Caldas, Sai Meher Karthik Duddu, Peter Wu, 2018. LEAF: A Benchmark for Federated Settings. arXiv:1812.01097 (2018).

4. Pushpita Chatterjee , Debashis Das , and Danda B Rawat . 2023. Use of Federated Learning and Blockchain towards Securing Financial Services. arXiv:2303.12944 ( 2023 ). Pushpita Chatterjee, Debashis Das, and Danda B Rawat. 2023. Use of Federated Learning and Blockchain towards Securing Financial Services. arXiv:2303.12944 (2023).

5. Huancheng Chen Chaining Wang and Haris Vikalo. 2023. The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. In ICLR. Huancheng Chen Chaining Wang and Haris Vikalo. 2023. The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation. In ICLR.