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Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing

11 July 2024

Papers citing "Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing"

21 / 21 papers shown

Title
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks Xiao Xu Qiong Wu Pingyi Fan Kezhi Wang 124 0 0 14 Jan 2025
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning Wenjun Zhang Qiong Wu Pingyi Fan Kezhi Wang Nan Cheng Wen Chen Khaled B. Letaief 68 2 0 07 Nov 2024
Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learning Shulin Song Zheng Zhang Qiong Wu Qiang Fan Pingyi Fan 28 17 0 11 Jul 2024
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network Qiong Wu Wenhua Wang Pingyi Fan Qian-Xi Fan Huiling Zhu Khaled B. Letaief 82 36 0 18 Jan 2024
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning Qiong Wu Yu Zhao Nan Cheng Pingyi Fan Jiangzhou Wang Cui Zhang 58 128 0 02 Aug 2022
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT Peiying Zhang Chao Wang Chunxiao Jiang Zhu Han FedML 71 149 0 03 Feb 2022
Communication-Efficient Federated Learning via Quantized Compressed Sensing Yong-Nam Oh Namyoon Lee Yo-Seb Jeon H. Vincent Poor FedML MQ 72 35 0 30 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 152 57 0 31 Oct 2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning Di Wu R. Ullah P. Harvey Peter Kilpatrick I. Spence Blesson Varghese 90 83 0 09 Jul 2021
Quantized Federated Learning under Transmission Delay and Outage Constraints Yanmeng Wang Yanqing Xu Qingjiang Shi Tsung-Hui Chang 67 84 0 17 Jun 2021
Fast Federated Learning by Balancing Communication Trade-Offs Milad Khademi Nori Sangseok Yun Il-Min Kim FedML 59 55 0 23 May 2021
Convergence Analysis and System Design for Federated Learning over Wireless Networks Shuo Wan Jiaxun Lu Pingyi Fan Yunfeng Shao Chenghui Peng Khaled B. Letaief 64 55 0 30 Apr 2021
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning Divyansh Jhunjhunwala Advait Gadhikar Gauri Joshi Yonina C. Eldar FedML MQ 57 110 0 08 Feb 2021
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 63 202 0 17 Jul 2020
Delay Minimization for Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei H. Vincent Poor Shuguang Cui FedML 43 53 0 05 Jul 2020
UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 54 229 0 05 Jun 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 88 197 0 01 Apr 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 57 299 0 22 Jan 2020
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 86 693 0 06 Nov 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 92 463 0 26 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 254 1,716 0 14 Apr 2018