Incentivization and Aggregation Schemes for Federated Learning Applications-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Incentivization and Aggregation Schemes for Federated Learning Applications

Published:2023 Issue: Volume:1 Page:185-196
ISSN:2831-316X
Container-title:IEEE Transactions on Machine Learning in Communications and Networking
language:
Short-container-title:Trans. Mach. Learn. Comm. Netw.

Author:

Hassija Vikas¹,Chawla Vaibhav²^ORCID,Chamola Vinay³^ORCID,Sikdar Biplab⁴^ORCID

Affiliation:

1. School of Computing, National University of Singapore, Queenstown, Singapore

2. Avalara Technologies Pvt Ltd., Noida, India

3. Department of Electrical and Electronics Engineering, BITS-Pilani, Pilani Campus, Pilani, India

4. Department of Electrical and Computer Engineering, National University of Singapore, Queenstown, Singapore

Funder

National Research Foundation, Singapore, and Infocomm Media Development Authority under its Future Communications Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9882533/9895461/10210145.pdf?arnumber=10210145

Reference39 articles.

1. Smart Stock Exchange Market: A Secure Predictive Decentralized Model

2. Sustainable Federated Learning with Long-term Online VCG Auction Mechanism

3. PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework

4. EMNIST: Extending MNIST to handwritten letters

5. BlockCom: A Blockchain Based Commerce Model for Smart Communities using Auction Mechanism

Cited by 2 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. Centralized and Decentralized Federated Learning in Autonomous Swarm Robots: Approaches, Algorithms, Optimization Criteria and Challenges : The Sixth Edition of International Conference on Pattern Analysis and Intelligent Systems (PAIS’24);2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24

2. Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning;2023-11-29

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