Efficient and Privacy-Preserving Federated Learning with Irregular Users
Author:
Affiliation:
1. University of Electronic Science and Technology of China,School of Computer Science and Engineering,China
Funder
Research and Development
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837954/9838246/09839208.pdf?arnumber=9839208
Reference19 articles.
1. ABY2. 0: Improved mixed-protocol secure two-party computation;patra;Proceedings of USENIX Security,2020
2. Federated learning with non-iid data;zhao,2018
3. FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
4. Privacy-Preserving Deep Learning via Weight Transmission
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. EPFL-DAC: Enhancing Privacy in Federated Learning with Dynamic Aggregation and Clipping;Computers & Security;2024-08
2. Enabling Privacy-Preserving and Publicly Auditable Federated Learning;ICC 2024 - IEEE International Conference on Communications;2024-06-09
3. Blockchain-Based Secure Federated Learning with Incentives: An Incomplete Information Static Game Approach;ICC 2024 - IEEE International Conference on Communications;2024-06-09
4. Federated Learning with Provable Security Against Malicious Clients in IoT Networks;2023 IEEE Virtual Conference on Communications (VCC);2023-11-28
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