Energy Efficient Federated Learning Over Wireless Communication Networks

6 November 2019

Papers citing "Energy Efficient Federated Learning Over Wireless Communication Networks"

50 / 77 papers shown

Title
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 51 0 0 08 May 2025
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory Alessandro Buratto Elia Guerra M. Miozzo Paolo Dini Leonardo Badia 43 1 0 27 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 68 0 0 01 Mar 2025
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization Afsaneh Mahmoudi Ming Xiao Emil Björnson 58 0 0 31 Dec 2024
Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client Jun Xia Yi Zhang Yiyu Shi 29 0 0 13 May 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 38 8 0 26 Feb 2024
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching Sujin Kook Won-Yong Shin Seong-Lyun Kim Seung-Woo Ko 24 1 0 19 Feb 2024
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
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks Xiaonan Liu T. Ratnarajah M. Sellathurai Yonina C. Eldar 29 4 0 04 Sep 2023
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks Lina Magoula Nikolaos Koursioumpas Alexandros-Ioannis Thanopoulos Theodora Panagea Nikolaos Petropouleas M. A. Gutierrez-Estevez R. Khalili 14 3 0 25 Jun 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 24 14 0 24 May 2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients Victoria Huang S. Sohail Michael Mayo T. Lorido-Botran Mark Rodrigues Chris Anderson Melanie Ooi FedML 18 2 0 16 May 2023
Task-Oriented Communication Design at Scale Arsham Mostaani T. Vu Hamed Habibi Symeon Chatzinotas Björn E. Ottersten 19 3 0 15 May 2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks Bibo Wu Fang Fang Xianbin Wang 34 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 25 4 0 09 Apr 2023
Communication and Control in Collaborative UAVs: Recent Advances and Future Trends Shumaila Javaid Nasir Saeed Zakria Qadir Hamza Fahim Bin He H. Song Muhammad Bilal 29 93 0 23 Feb 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 45 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
Graph Federated Learning for CIoT Devices in Smart Home Applications Arash Rasti-Meymandi S. M. Sheikholeslami J. Abouei Konstantinos N. Plataniotis FedML 19 18 0 29 Dec 2022
Enhancing Federated Learning with spectrum allocation optimization and device selection Tinghao Zhang Kwok-Yan Lam Jun Zhao Feng-Qiang Li Huimei Han N. Jamil 23 11 0 27 Dec 2022
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality Xinyu Zhou Chang-rui Liu Junfeng Zhao 29 22 0 16 Nov 2022
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient Afsaneh Mahmoudi José Hélio da Cruz Júnior H. S. Ghadikolaei Carlo Fischione 23 7 0 31 Oct 2022
Time Minimization in Hierarchical Federated Learning Chang-rui Liu Terence Jie Chua Junfeng Zhao 44 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 48 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 43 27 0 29 Sep 2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data Minh-Duong Nguyen Viet Quoc Pham D. Hoang Long Tran-Thanh Diep N. Nguyen W. Hwang 16 2 0 29 Sep 2022
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges N. Shalavi Giovanni Perin Andrea Zanella M. Rossi 16 6 0 28 Sep 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q. S. Quek 31 12 0 27 Sep 2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption L. Pilla 16 15 0 13 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 18 4 0 25 Aug 2022
A Survey on Intelligent Computation Offloading and Pricing Strategy in UAV-Enabled MEC Network: Challenges and Research Directions A. Baktayan I. A. Al-Baltah 30 5 0 22 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 19 56 0 01 Aug 2022
BPFISH: Blockchain and Privacy-preserving FL Inspired Smart Healthcare Moirangthem Biken Singh A. Pratap OOD 18 3 0 24 Jul 2022
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 18 27 0 19 Jul 2022
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach Xin-Yue Zhou Jingru Feng Jian Wang Jianhong Pan 25 7 0 30 Jun 2022
Completion Time Minimization of Fog-RAN-Assisted Federated Learning With Rate-Splitting Transmission Seok-Hwan Park Hoon Lee 28 12 0 03 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 15 15 0 27 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 9 12 0 10 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 21 70 0 05 May 2022
Time-triggered Federated Learning over Wireless Networks Xiaokang Zhou Yansha Deng Huiyun Xia Shaochuan Wu M. Bennis FedML 21 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 19 9 0 16 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks Yi Shi Y. Sagduyu T. Erpek FedML 22 15 0 06 Apr 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 13 16 0 26 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 24 119 0 18 Mar 2022
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning Yixuan Li Xiaoqi Qin H. Chen K. Han Ping Zhang FedML 22 13 0 06 Feb 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 19 72 0 19 Jan 2022
Over-the-Air Federated Multi-Task Learning Over MIMO Multiple Access Channels Chen Zhong Huiyuan Yang Xiaojun Yuan 33 28 0 27 Dec 2021
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 14 9 0 27 Nov 2021