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
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations Yumeng Shao Jun Li Long Shi Kang Wei Ming Ding Qianmu Li Zengxiang Li Wen Chen Shi Jin FedML 39 0 0 11 May 2024
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems Amin Aminifar Matin Shokri Amir Aminifar FedML 31 11 0 09 May 2024
LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning Shixiong Qi K. K. Ramakrishnan Myungjin Lee 27 2 0 05 May 2024
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems Kirandeep Kaur Sujit Gujar Shweta Jain FedML 48 0 0 03 May 2024
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities O. Wehbi S. Arisdakessian Mohsen Guizani Omar Abdel Wahab Azzam Mourad Hadi Otrok Hoda AlKhzaimi B. Ouni 23 1 0 01 May 2024
An Element-Wise Weights Aggregation Method for Federated Learning Yi Hu Hanchi Ren Chen Hu Jingjing Deng Xianghua Xie FedML 29 3 0 24 Apr 2024
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks Bingnan Xiao Jingjing Zhang Wei Ni Xin Wang 39 0 0 23 Apr 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 38 4 0 22 Apr 2024
Fair Concurrent Training of Multiple Models in Federated Learning Marie Siew Haoran Zhang Jong-Ik Park Yuezhou Liu Yichen Ruan Lili Su Stratis Ioannidis Edmund Yeh Carlee Joe-Wong FedML 38 3 0 22 Apr 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems René Schwermer R. Mayer Hans-Arno Jacobsen FedML 40 1 0 03 Apr 2024
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection Jingwen Tong Zhenzhen Chen Liqun Fu Jun Zhang Zhu Han FedML 34 1 0 30 Mar 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 53 4 0 27 Mar 2024
GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning Shijie Na Yuzhi Liang S.M. Yiu FedML 38 0 0 26 Mar 2024
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning Teppei Suzuki 51 9 0 18 Mar 2024
Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chaeeun Park Sihua Shao FedML 50 1 0 11 Mar 2024
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks Zuguang Li Wen Wu Shaohua Wu Wei Wang 38 1 0 08 Mar 2024
Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks Chunmei Xu Shengheng Liu Yongming Huang Björn E. Ottersten Dusist Niyato FedML 25 2 0 20 Feb 2024
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients Xiaolu Wang Zijian Li Shi Jin Jun Zhang FedML 29 3 0 17 Feb 2024
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling Jiaxiang Geng Yanzhao Hou Xiaofeng Tao Juncheng Wang Bing Luo FedML 27 0 0 15 Feb 2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets Hongpeng Guo Haotian Gu Xiaoyang Wang Bo Chen Eun Kyung Lee Tamar Eilam Deming Chen K. Nahrstedt FedML 32 1 0 31 Jan 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control Xiaocheng Li Si-ren Liu Zimu Zhou Bin Guo Yuan Xu Zhiwen Yu 37 0 0 29 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare Hyejun Jeong Tai-Myung Chung FedML 27 1 0 16 Jan 2024
Joint Probability Selection and Power Allocation for Federated Learning Ouiame Marnissi Hajar Elhammouti El Houcine Bergou FedML 22 2 0 15 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 27 11 0 10 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 30 0 0 06 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 31 2 0 05 Jan 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning Yuxin Shi Han Yu FedML 28 3 0 05 Jan 2024
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach Mahtab Talaei Iman Izadi FedML 24 4 0 04 Jan 2024
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 41 11 0 23 Dec 2023
On the Role of Server Momentum in Federated Learning Jianhui Sun Xidong Wu Heng-Chiao Huang Aidong Zhang FedML 60 11 0 19 Dec 2023
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs Akihito Taya Yuuki Nishiyama K. Sezaki FedML 13 0 0 19 Dec 2023
Value of Information and Timing-aware Scheduling for Federated Learning Muhammad Azeem Khan Howard H. Yang Zihan Chen Antonio Iera Nikolaos Pappas 15 3 0 16 Dec 2023
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data Youssra Cheriguene Wael Jaafar H. Yanikomeroglu C. A. Kerrache 36 7 0 16 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 24 32 0 10 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 41 7 0 07 Dec 2023
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity Lorenzo Valerio C. Boldrini A. Passarella János Kertész Márton Karsai Gerardo Iniguez FedML 33 5 0 07 Dec 2023
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service Meiying Zhang Huan Zhao Sheldon C Ebron Ruitao Xie Kan Yang 21 1 0 05 Dec 2023
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 49 17 0 01 Dec 2023
CommunityAI: Towards Community-based Federated Learning Ilir Murturi Praveen Kumar Donta Schahram Dustdar FedML 35 1 0 29 Nov 2023
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning Dengke Yan Ming Hu Zeke Xia Yanxin Yang Jun Xia Xiaofei Xie Mingsong Chen FedML 26 5 0 22 Nov 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 54 1 0 16 Nov 2023
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning Mohammad Mahdi Rahimi Hasnain Irshad Bhatti Younghyun Park Humaira Kousar Jaekyun Moon FedML 48 7 0 13 Nov 2023
A Comprehensive Survey On Client Selections in Federated Learning A. Gouissem Z. Chkirbene R. Hamila FedML 11 6 0 12 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Zhiyong Peng 31 0 0 12 Nov 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 46 10 0 24 Oct 2023
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis Shuaijun Chen Omid Tavallaie Michael Henri Hambali S. M. Zandavi Hamed Haddadi Nicholas D. Lane Song Guo Albert Y. Zomaya FedML 34 1 0 12 Oct 2023
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies F. Wilhelmi Nima Afraz Elia Guerra Paolo Dini 42 3 0 11 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 38 0 0 06 Oct 2023
Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt Zihao Zhao Zhenpeng Shi Yang Liu Wenbo Ding FedML 43 1 0 04 Oct 2023
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning Xavier Tan Han Yu FedML 42 3 0 04 Oct 2023