FedTP: Federated Learning by Transformer Personalization-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

FedTP: Federated Learning by Transformer Personalization

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Li Hongxia¹,Cai Zhongyi¹^ORCID,Wang Jingya¹^ORCID,Tang Jiangnan¹,Ding Weiping²^ORCID,Lin Chin-Teng³^ORCID,Shi Ye¹^ORCID

Affiliation:

1. School of Information Science and Technology, ShanghaiTech University, Shanghai, China

2. School of Information Science and Technology, Nantong University, Nantong, China

3. School of Computer Science, University of Technology Sydney, Broadway, NSW, Australia

Funder

Shanghai Sailing Program

Shanghai Local College Capacity Building Program

Shanghai Frontiers Science Center of Humancentered Artificial Intelligence

National Natural Science Foundation of China

Natural Science Key Foundation of Jiangsu Education Department

Australian Research Council (ARC) through Discovery

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10130784.pdf?arnumber=10130784

Cited by 22 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. Fine-grained personalized federated learning via transformer in the transformer framework;Knowledge-Based Systems;2024-10

2. Personalized Federated Graph Learning on Non-IID Electronic Health Records;IEEE Transactions on Neural Networks and Learning Systems;2024-09

3. Efficient federated learning with cross-resource client collaboration;International Journal of Machine Learning and Cybernetics;2024-08-20

4. Privacy-Enhanced Personalized Federated Learning With Layer-Wise Gradient Shielding on Heterogeneous IoT Data;IEEE Internet of Things Journal;2024-08-01

5. Empowering e-learning approach by the use of federated edge computing;Cluster Computing;2024-07-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3