Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning
Author:
Affiliation:
1. Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
2. Department of Computer Science, University of Oregon, Eugene, OR, USA
Funder
National Natural Science Foundation of China
China University Industry Research Innovation Foundation
Fundamental Research Funds for the Central Universities
Collaborative Innovation Center of Novel Software Technology and Industrialization
U.S. National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software
Link
https://ieeexplore.ieee.org/ielam/90/10286433/10070386-aam.pdf
Reference55 articles.
1. Federated learning: Strategies for improving communication efficiency;kone?ný;arXiv 1610 05492,2016
2. Adaptive Federated Learning in Resource Constrained Edge Computing Systems
3. NetView: Towards on-demand network-wide telemetry in the data center
4. PINT
5. CLARINET: Wan-aware optimization for analytics queries;viswanathan;Proceedings of the 5th USENIX Symposium on Operating Systems Design and Implementation (OSDI),2016
Cited by 9 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. Client selection for federated learning using combinatorial multi-armed bandit under long-term energy constraint;Computer Networks;2024-08
2. INTaaS: Provisioning In-band Network Telemetry as a service via online learning;Computer Networks;2024-03
3. Model aggregation techniques in federated learning: A comprehensive survey;Future Generation Computer Systems;2024-01
4. When CPN Meets AI: Resource Provisioning for Inference Query upon Computing Power Network;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17
5. Accelerating Federated Learning with Adaptive Extra Local Updates upon Edge Networks;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17
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