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
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 46 53 0 27 Sep 2023
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Zilinghan Li Pranshu Chaturvedi Shilan He Han-qiu Chen Gagandeep Singh Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 42 9 0 26 Sep 2023
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields Teppei Suzuki AI4CE 26 8 0 12 Sep 2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 41 2 0 31 Aug 2023
FwdLLM: Efficient FedLLM using Forward Gradient Mengwei Xu Dongqi Cai Yaozong Wu Xiang Li Shangguang Wang FedML 55 25 0 26 Aug 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 38 77 0 21 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 29 3 0 07 Aug 2023
FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing Wu-Yang Zhu M. Goudarzi Rajkumar Buyya FedML 32 7 0 05 Aug 2023
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 75 4 0 01 Aug 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 38 0 0 01 Aug 2023
Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning Connor Mclaughlin Matthew Ding Denis Edogmus Lili Su 11 0 0 27 Jul 2023
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning Elizabeth Salesky Susanne Burger Jan Niehues Huansheng Ning FedML 11 0 0 25 Jul 2023
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning Yao Wen GuoPeng Zhang Kezhi Wang Kun Yang FedML 38 3 0 21 Jul 2023
Fairness-Aware Client Selection for Federated Learning Yuxin Shi Zelei Liu Zhuan Shi Han Yu FedML 24 19 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 41 250 0 20 Jul 2023
Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning Kecheng Fan Wen Chen Jun Li Xiumei Deng Xu Han Ming Ding FedML 37 5 0 18 Jul 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 22 66 0 18 Jul 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning Junjun Nie Danyang Xiao Lei Yang Weigang Wu FedML 41 0 0 17 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 26 0 0 12 Jul 2023
Pollen: High-throughput Federated Learning Simulation via Resource-Aware Client Placement Lorenzo Sani Pedro Gusmão Alexandru Iacob Wanru Zhao Xinchi Qiu Yan Gao Javier Fernandez-Marques Nicholas D. Lane 42 0 0 30 Jun 2023
Fast and Robust State Estimation and Tracking via Hierarchical Learning Connor Mclaughlin Matthew Ding Deniz Edogmus Lili Su 19 0 0 29 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Timely Asynchronous Hierarchical Federated Learning: Age of Convergence Purbesh Mitra Sennur Ulukus FedML 27 0 0 21 Jun 2023
Towards Quantum Federated Learning Chao Ren Han Yu Rudai Yan Minrui Xu Yuan Shen Huihui Zhu Dusit Niyato Zhaoyang Dong L. Kwek FedML AI4CE 44 19 0 16 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 43 39 0 14 Jun 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization Zhigang Kan Linbo Qiao Hao Yu Liwen Peng Yifu Gao Dongsheng Li 28 20 0 14 Jun 2023
A Systematic Literature Review on Client Selection in Federated Learning Carl Smestad Jingyue Li 25 19 0 08 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 29 10 0 04 Jun 2023
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning Xiang Ma Qun Wang Haijian Sun R. Hu Y. Qian 14 4 0 01 Jun 2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients Hao Fei Fuxun Yu Yongbo Yu Minjia Zhang Ang Li Xiang Chen FedML 21 2 0 25 May 2023
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks Fan Dong A. Abbasi Henry Leung Xin Eric Wang Jiayu Zhou Steve Drew FedML 20 1 0 24 May 2023
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization Zhangyu Chang Seyyedali Hosseinalipour M. Chiang Christopher G. Brinton 26 3 0 22 May 2023
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection Rui Song Lingjuan Lyu Wei Jiang Andreas Festag Alois Knoll 37 14 0 19 May 2023
Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation Shashi Raj Pandey Van-Phuc Bui P. Popovski FedML 26 4 0 19 May 2023
Multi-Tier Client Selection for Mobile Federated Learning Networks Yulan Gao Yansong Zhao Han Yu FedML 27 6 0 11 May 2023
Flame: Simplifying Topology Extension in Federated Learning Harshit Daga Jae-Kwang Shin D. Garg Ada Gavrilovska Myungjin Lee Ramana Rao Kompella AI4CE 28 10 0 09 May 2023
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey Yanna Jiang Baihe Ma Xu Wang Ping Yu Guangsheng Yu Zhe Wang Weiquan Ni R. Liu AI4CE 36 20 0 08 May 2023
Joint Compression and Deadline Optimization for Wireless Federated Learning Maojun Zhang Yong Li Dongzhu Liu Richeng Jin Guangxu Zhu Caijun Zhong Tony Q. S. Quek 32 5 0 06 May 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 35 5 0 02 May 2023
Client Recruitment for Federated Learning in ICU Length of Stay Prediction Vincent Scheltjens Lyse Naomi Wamba Momo Wouter Verbeke B. De Moor OOD FedML 19 1 0 28 Apr 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services Dewant Katare Diego Perino J. Nurmi M. Warnier Marijn Janssen Aaron Yi Ding 34 37 0 13 Apr 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 28 1 0 27 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 42 0 0 26 Mar 2023
A Survey of Federated Learning for Connected and Automated Vehicles Vishnu Pandi Chellapandi Liangqi Yuan Stanislaw H. .Zak Ziran Wang FedML 33 34 0 19 Mar 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach Dan Ben Ami Kobi Cohen Qing Zhao FedML 32 11 0 18 Mar 2023
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks Aleksei A. Ponomarenko-Timofeev O. Galinina Ravikumar Balakrishnan N. Himayat Sergey D. Andreev Y. Koucheryavy FedML 18 3 0 17 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service Muhammad Jahanzeb Khan Rui Hu Mohammad Sadoghi Dongfang Zhao FedML 15 0 0 15 Mar 2023
Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges Linh-TX Nguyen L. Nguyen Thong Hoang Dilum Bandara Qin Wang Qinghua Lu Xiwei Xu Liming Zhu P. Popovski Shiping Chen 37 14 0 12 Mar 2023
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices Qiying Pan Yifei Zhu Lingyang Chu FedML 20 10 0 01 Mar 2023
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective Yash Travadi Le Peng Xuan Bi Ju Sun Mochen Yang FedML 32 3 0 17 Feb 2023