MultiFed: A fast converging federated learning framework for services QoS prediction via cloud–edge collaboration mechanism
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference37 articles.
1. Moving towards smart cities: Solutions that lead to the smart city transformation framework;Kumar;Technol. Forecast. Soc. Change,2020
2. Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges;Majeed;J. Netw. Comput. Appl.,2021
3. A QoS-aware service composition mechanism in the internet of things using a hidden-Markov-model-based optimization algorithm;Sefati;IEEE Internet Things J.,2021
4. SDTIOA: modeling the timed privacy requirements of IoT service composition: a user interaction perspective for automatic transformation from bpel to timed automata;Gao;Mob. Netw. Appl.,2021
5. The eu general data protection regulation (gdpr);Voigt,2017
Cited by 7 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. Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture;Future Generation Computer Systems;2024-10
2. Integrating Federated Learning for Privacy Protection in Intelligent Home Care Robots;2024 International Symposium on Intelligent Robotics and Systems (ISoIRS);2024-06-14
3. Facing spatiotemporal heterogeneity: A unified federated continual learning framework with self-challenge rehearsal for industrial monitoring tasks;Knowledge-Based Systems;2024-04
4. pFedLN: Personalized Federated Learning Framework With Layer-Wised and Neighbor-Based Aggregation for QoS Prediction;IEEE Access;2024
5. A survey on state-of-the-art experimental simulations for privacy-preserving federated learning in intelligent networking;Electronic Research Archive;2024
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