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 / 410 papers shown

Title
FedHQ: Hybrid Runtime Quantization for Federated Learning Zihao Zheng Ziyao Wang Xiuping Cui Maoliang Li Jiayu Chen Liang Ang Li Xiang Chen FedML MQ 2 0 0 17 May 2025
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning Chongyang Tan Ruoqi Wen Rongpeng Li Zhifeng Zhao Ekram Hossain Honggang Zhang 2 0 0 16 May 2025
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs Samaneh Mohammadi Iraklis Symeonidis Ali Balador Francesco Flammini FedML 28 0 0 11 May 2025
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang W. Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 26 0 0 11 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 54 0 0 08 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Jiacheng Wang Le Liang Hao Ye Chongtao Guo Shi Jin 44 0 0 06 May 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence Edward Collins Michel Wang FedML 36 0 0 24 Apr 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 36 0 0 21 Apr 2025
The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning Eleanor Wallach Sage Siler Jing Deng FedML 28 0 0 11 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 44 0 0 02 Apr 2025
Distributionally Robust Federated Learning: An ADMM Algorithm Wen Bai Yi Wong Xiao Qiao Chin Pang Ho FedML OOD 68 0 0 24 Mar 2025
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving Yanan Ma Senkang Hu Zhengru Fang Yun Ji Yiqin Deng Yuguang Fang 51 0 0 22 Mar 2025
Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection William Marfo Deepak K. Tosh Shirley V. Moore Joshua D. Suetterlein Joseph Manzano 39 0 0 19 Mar 2025
Advanced Relay-Based Collaborative Framework for Optimizing Synchronization in Split Federated Learning over Wireless Networks Haoran Gao Samuel D. Okegbile Jun Cai FedML 45 0 0 18 Mar 2025
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence Ziruo Hao Zhenhua Cui Tao Yang Bo Hu X. Wu Hui Feng 48 1 0 06 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 75 0 0 01 Mar 2025
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 33 0 0 31 Dec 2024
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT Zehao Ju Tongquan Wei Fuke Shen 76 0 0 05 Dec 2024
Adaptive Client Selection with Personalization for Communication Efficient Federated Learning Allan M. de Souza Filipe Maciel Joahannes B. D. da Costa L. Bittencourt E. Cerqueira A. A. F. Loureiro Leandro A. Villas FedML 101 16 0 26 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 204 1 0 19 Nov 2024
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning Z. Wen Wanglei Feng Di Wu Haozhen Hu Chang Xu Bin Qian Zhen Hong Cong Wang S. Ji FedML 80 0 0 18 Nov 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection Charuka Herath Xiaolan Liu S. Lambotharan Y. Rahulamathavan FedML 28 2 0 23 Oct 2024
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning Jingbo Zhang Qiong Wu Pingyi Fan Q. Fan FedML 33 0 0 10 Oct 2024
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction Zhan-Lun Chang Dong-Jun Han Rohit Parasnis Seyyedali Hosseinalipour Christopher G. Brinton 21 0 0 08 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 31 0 0 04 Oct 2024
Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS Md Raihan Uddin Gauri Shankar Saddam Hossain Mukta Prabhat Kumar Najmul Islam FedML 33 0 0 24 Sep 2024
Noise-Robust and Resource-Efficient ADMM-based Federated Learning Ehsan Lari Reza Arablouei Vinay Chakravarthi Gogineni Stefan Werner FedML 31 1 0 20 Sep 2024
Green Federated Learning: A new era of Green Aware AI Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Francesco Piccialli AI4CE 48 4 0 19 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 60 6 0 17 Sep 2024
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach Maryam Ben Driss Essaid Sabir H. Elbiaze Abdoulaye Baniré Diallo M. Sadik 23 1 0 16 Sep 2024
FedModule: A Modular Federated Learning Framework Chuyi Chen Zhe Zhang Yanchao Zhao FedML 28 0 0 07 Sep 2024
Seamless Integration: Sampling Strategies in Federated Learning Systems T. Legler Vinit Hegiste Martin Ruskowski FedML 41 1 0 18 Aug 2024
FedFQ: Federated Learning with Fine-Grained Quantization Haowei Li Weiying Xie Hangyu Ye Jitao Ma Shuran Ma Yunsong Li FedML MQ 33 1 0 16 Aug 2024
Heterogeneity: An Open Challenge for Federated On-board Machine Learning Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 34 0 0 13 Aug 2024
SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment Sai Puppala Ismail Hossain Md. jahangir Alam Sajedul Talukder Zahidur Talukder Syed Bahauddin 44 3 0 25 Jul 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 38 1 0 22 Jul 2024
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models Jayneel Vora Nader Bouacida Aditya Krishnan Prasant Mohapatra FedML 43 1 0 20 Jul 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 36 2 0 12 Jul 2024
Energy-Aware Decentralized Learning with Intermittent Model Training Akash Dhasade Paolo Dini Elia Guerra Anne-Marie Kermarrec M. Miozzo Rafael Pires Rishi Sharma M. Vos 43 0 0 01 Jul 2024
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection Jiaxiang Geng Boyu Li Xiaoqi Qin Yixuan Li Liang Li Yanzhao Hou Miao Pan FedML 40 0 0 01 Jul 2024
Enhancing Federated Learning with Adaptive Differential Privacy and Priority-Based Aggregation Mahtab Talaei Iman Izadi FedML 24 0 0 26 Jun 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 40 4 0 25 Jun 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 39 0 0 24 Jun 2024
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach Xiaojing Chen Zhenyuan Li Wei Ni Xin Wang Shunqing Zhang Yanzan Sun Shugong Xu Qingqi Pei 32 2 0 21 Jun 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning Kun Wang Yi-Rui Yang Wu-Jun Li 42 0 0 05 Jun 2024
Fast networked data selection via distributed smoothed quantile estimation Xu Zhang Marcos M. Vasconcelos 33 0 0 04 Jun 2024
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 50 1 0 03 Jun 2024
FedAST: Federated Asynchronous Simultaneous Training Baris Askin Pranay Sharma Carlee Joe-Wong Gauri Joshi 49 1 0 01 Jun 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 44 1 0 16 May 2024
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