A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

17 September 2019

Papers citing "A Joint Learning and Communications Framework for Federated Learning over Wireless Networks"

50 / 137 papers shown

Title
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
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 46 0 0 08 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
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Yansen Wang Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 41 0 0 24 Feb 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation Franco Galante Giovanni Neglia Emilio Leonardi FedML 87 1 0 20 Feb 2025
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 28 0 0 09 Nov 2024
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 33 0 0 12 Aug 2024
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning M. Chahoud Hani Sami Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 29 0 0 12 May 2024
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks Zuguang Li Wen Wu Shaohua Wu Wei Wang 35 1 0 08 Mar 2024
Multiple Access in the Era of Distributed Computing and Edge Intelligence Nikos G. Evgenidis Nikos A. Mitsiou Vasiliki I. Koutsioumpa Sotiris A. Tegos P. Diamantoulakis G. Karagiannidis 41 8 0 26 Feb 2024
Sparse Training for Federated Learning with Regularized Error Correction Ran Greidi Kobi Cohen FedML 30 1 0 21 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 30 7 0 07 Dec 2023
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning Luca Ballotta Nicolò Dal Fabbro Giovanni Perin Luca Schenato Michele Rossi Giuseppe Piro 47 1 0 30 Nov 2023
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks Xiaonan Liu T. Ratnarajah M. Sellathurai Yonina C. Eldar 32 4 0 04 Sep 2023
Private Federated Learning with Dynamic Power Control via Non-Coherent Over-the-Air Computation Anbang Zhang Shuaishuai Guo Shuai Liu 24 2 0 05 Aug 2023
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity Xu Han Jun Li Wen Chen Zhen Mei Kang Wei Ming Ding H. Vincent Poor 36 2 0 04 Aug 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 36 7 0 20 Jul 2023
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization Nicolò Dal Fabbro M. Rossi Luca Schenato S. Dey 23 0 0 18 May 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data Chung-Hsuan Hu Zheng Chen Erik G. Larsson 24 4 0 02 May 2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks Bibo Wu Fang Fang Xianbin Wang 41 19 0 18 Apr 2023
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Feng Shu Haitao Zhao Wen Chen Hongbo Zhu FedML 32 4 0 09 Apr 2023
Network Adaptive Federated Learning: Congestion and Lossy Compression Parikshit Hegde G. Veciana Aryan Mokhtari FedML 20 4 0 11 Jan 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 55 21 0 08 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics Yahao Ding Zhaohui Yang Viet Quoc Pham Zhaoyang Zhang M. Shikh-Bahaei 31 31 0 03 Jan 2023
Enhancing Federated Learning with spectrum allocation optimization and device selection Tinghao Zhang Kwok-Yan Lam Jun Zhao Feng-Qiang Li Huimei Han N. Jamil 33 11 0 27 Dec 2022
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks Y. Sagduyu FedML 24 8 0 21 Dec 2022
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 26 31 0 16 Dec 2022
Federated Learning Using Variance Reduced Stochastic Gradient for Probabilistically Activated Agents M. Rostami S. S. Kia FedML 30 8 0 25 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability Zhao Song Yitan Wang Zheng Yu Licheng Zhang FedML 23 28 0 15 Oct 2022
Over-the-Air Computation Based on Balanced Number Systems for Federated Edge Learning Alphan Șahin FedML 28 14 0 13 Oct 2022
Time Minimization in Hierarchical Federated Learning Chang-rui Liu Terence Jie Chua Junfeng Zhao 52 13 0 07 Oct 2022
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control Zixuan Zhang Yuning Jiang Yuanming Shi Ye Shi Wei Chen 54 13 0 04 Oct 2022
Joint Optimization of Energy Consumption and Completion Time in Federated Learning Xinyu Zhou Jun Zhao Huimei Han C. Guet FedML 51 27 0 29 Sep 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q.S. Quek 38 12 0 27 Sep 2022
Over-the-Air Computation over Balanced Numerals Alphan Șahin Rui Yang 31 9 0 22 Sep 2022
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations Nima Tavangaran Mingzhe Chen Zhaohui Yang J. M. B. D. Silva H. Vincent Poor FedML 28 4 0 25 Aug 2022
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach Yining Wang Mingzhe Chen Tao Luo Walid Saad Dusit Niyato H. Vincent Poor Shuguang Cui 21 127 0 17 Aug 2022
Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning Zezhong Zhang Guangxu Zhu Shuguang Cui FedML 25 10 0 07 Aug 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 31 61 0 20 Jul 2022
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 23 27 0 19 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications Deniz Gunduz Zhijin Qin Iñaki Estella Aguerri Harpreet S. Dhillon Zhaohui Yang Aylin Yener Kai‐Kit Wong C. Chae 27 433 0 19 Jul 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 37 3 0 19 Jul 2022
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Qian Chen Zilong Wang Jiawei Chen Haonan Yan Xiaodong Lin FedML 10 17 0 08 Jun 2022
Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks Zhibin Wang Yong Zhou Yuanming Shi W. Zhuang 32 68 0 06 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 28 398 0 01 Jun 2022
Towards Communication-Learning Trade-off for Federated Learning at the Network Edge Jian-ji Ren Wanli Ni Hui Tian FedML 23 15 0 27 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
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning Afsaneh Mahmoudi H. S. Ghadikolaei José Hélio da Cruz Júnior Carlo Fischione 30 9 0 16 Apr 2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing Yong-Nam Oh Yo-Seb Jeon Mingzhe Chen Walid Saad FedML 30 10 0 16 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks Yi Shi Y. Sagduyu T. Erpek FedML 24 15 0 06 Apr 2022