Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

23 April 2018

Papers citing "Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge"

50 / 411 papers shown

Title
Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning Cihat Keçeci M. Shaqfeh F. Al-Qahtani Muhammad Ismail E. Serpedin FedML 33 4 0 15 Jun 2022
Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying Jieming Bian Jie Xu FedML 31 6 0 09 Jun 2022
Straggler-Resilient Personalized Federated Learning Isidoros Tziotis Zebang Shen Ramtin Pedarsani Hamed Hassani Aryan Mokhtari FedML 39 9 0 05 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 34 399 0 01 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai Li Shen Fengxiang He Xinmei Tian Dacheng Tao FedML 22 112 0 01 Jun 2022
FedAdapter: Efficient Federated Learning for Modern NLP Dongqi Cai Yaozong Wu Shangguang Wang F. Lin Mengwei Xu FedML AI4CE 36 21 0 20 May 2022
Service Delay Minimization for Federated Learning over Mobile Devices Rui Chen Dian Shi Xiaoqi Qin Dongjie Liu Miao Pan Shuguang Cui FedML 43 32 0 19 May 2022
Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective Yun-Gyu Ji Zhoubin Kou Xiaoxiong Zhong Shenmin Zhang Hang Li Fan Yang 11 13 0 10 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 27 71 0 05 May 2022
Time-triggered Federated Learning over Wireless Networks Xiaokang Zhou Yansha Deng Huiyun Xia Shaochuan Wu M. Bennis FedML 37 20 0 26 Apr 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 30 26 0 17 Apr 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds Shahryar Zehtabi Seyyedali Hosseinalipour Christopher G. Brinton FedML 34 15 0 07 Apr 2022
A Contribution-based Device Selection Scheme in Federated Learning Shashi Raj Pandey L. Nguyen P. Popovski FedML 30 19 0 10 Mar 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
Federated Stochastic Gradient Descent Begets Self-Induced Momentum Howard H. Yang Zuozhu Liu Yaru Fu Tony Q.S. Quek H. Vincent Poor FedML 8 5 0 17 Feb 2022
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT Jingjing Zheng Kai Li N. Mhaisen Wei Ni Eduardo Tovar Mohsen Guizani 15 43 0 15 Feb 2022
ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning Hao Wang Zhi Li Chunpeng Ge W. Susilo FedML 14 0 0 07 Feb 2022
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT Zonghang Li Yihong He Hongfang Yu Jiawen Kang Xiaoping Li Zenglin Xu Dusit Niyato FedML 16 92 0 03 Feb 2022
Data-Quality Based Scheduling for Federated Edge Learning Afaf Taik Hajar Moudoud Soumaya Cherkaoui 36 18 0 27 Jan 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 21 73 0 19 Jan 2022
Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost F. Malandrino C. Chiasserini FedML 21 2 0 19 Jan 2022
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection Guangyuan Shen D. Gao Libin Yang Fang Zhou Duanxiao Song Wei Lou Shirui Pan FedML 19 8 0 15 Jan 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning S. Zhang Jieyu Lin Qi Zhang 35 63 0 09 Jan 2022
Multi-Model Federated Learning Neelkamal Bhuyan Sharayu Moharir FedML 19 19 0 07 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 17 74 0 05 Jan 2022
Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness Amin Eslami Abyane Derui Zhu Roberto Souza Lei Ma Hadi Hemmati AAML OOD FedML 24 3 0 05 Jan 2022
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 42 168 0 21 Dec 2021
Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang FedML 21 31 0 20 Dec 2021
Optimal Rate Adaption in Federated Learning with Compressed Communications Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu FedML 42 40 0 13 Dec 2021
Efficient Device Scheduling with Multi-Job Federated Learning Chen Zhou Ji Liu Juncheng Jia Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 20 40 0 11 Dec 2021
Collaborative Learning over Wireless Networks: An Introductory Overview Emre Ozfatura Deniz Gunduz H. Vincent Poor 30 11 0 07 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 32 26 0 02 Dec 2021
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 39 61 0 02 Dec 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 45 20 0 29 Nov 2021
Client Selection in Federated Learning based on Gradients Importance Ouiame Marnissi Hajar Elhammouti El Houcine Bergou FedML 25 16 0 19 Nov 2021
A Novel Optimized Asynchronous Federated Learning Framework Zhicheng Zhou Hailong Chen Kunhua Li Fei Hu Bingjie Yan ... Xuyan Wei Bernie Liu Xiulai Li Fuwen Chen Yongjie Sui FedML 28 5 0 18 Nov 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Viet Quoc Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre W. Hwang FedML 24 516 0 16 Nov 2021
HADFL: Heterogeneity-aware Decentralized Federated Learning Framework Jing Cao Zirui Lian Weihong Liu Zongwei Zhu Cheng Ji FedML 27 18 0 16 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 22 62 0 14 Nov 2021
FedGreen: Federated Learning with Fine-Grained Gradient Compression for Green Mobile Edge Computing Peichun Li Xumin Huang Miao Pan Rong Yu 37 15 0 11 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
Resource-Efficient Federated Learning A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 32 55 0 01 Nov 2021
FedFm: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes Manupriya Gupta Pavas Goyal Rohit Verma R. Shorey H. Saran FedML 21 4 0 01 Nov 2021
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT Shunpu Tang Lunyuan Chen Junjuan Xia Lisheng Fan A. Nallanathan 38 103 0 28 Oct 2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources Student Member Ieee Hao Chen Shaocheng Huang Deyou Zhang Ming Xiao Fellow Ieee Mikael Skoglund L. F. I. H. Vincent Poor 40 94 0 22 Oct 2021
Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning Qin Hu Shengling Wang Zehui Xiong Xiuzhen Cheng FedML 17 13 0 15 Oct 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 41 31 0 14 Oct 2021
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 21 20 0 13 Oct 2021
A Systematic Survey of Blockchained Federated Learning Zhilin Wang Qin Hu Minghui Xu Zhuang Yan Yawei Wang Xiuzhen Cheng FedML 53 45 0 05 Oct 2021
Improving Fairness for Data Valuation in Horizontal Federated Learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Changxin Liu Yong Zhang TDI FedML 40 47 0 19 Sep 2021