OCTOPUS: Overcoming Performance and Privatization Bottlenecks in Distributed Learning

Author:

Wang Shuo1ORCID,Nepal Surya1ORCID,Moore Kristen1,Grobler Marthie1ORCID,Rudolph Carsten2ORCID,Abuadbba Alsharif1

Affiliation:

1. CSIRO's Data61 and Cybersecurity CRC, Sydney, Australia

2. Faculty of Information Technology, Monash University, Melbourne, VIC, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Reference70 articles.

1. Very deep convolutional networks for large-scale image recognition;simonyan,2014

2. Communication-efficient learning of deep networks from decentralized data;mcmahan;Proc Artif Intell Statstics,2017

3. Federated learning with non-IID data;zhao,2018

4. Detailed comparison of communication efficiency of split learning and federated learning;singh,2019

5. Advances and open problems in federated learning;kairouz,2019

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. Data Collection Algorithms for Model Training in Internet of Vehicles;IEEE Internet of Things Journal;2024-02-01

2. TinyFL: On-Device Training, Communication and Aggregation on a Microcontroller For Federated Learning;2023 21st IEEE Interregional NEWCAS Conference (NEWCAS);2023-06-26

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