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Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning

25 June 2024

Papers citing "Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning"

27 / 27 papers shown

Title
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Deniz Gündüz Z. Niu FedML 78 9 0 18 Jan 2024
MASS: Mobility-Aware Sensor Scheduling of Cooperative Perception for Connected Automated Driving Yukuan Jia Ruiqing Mao Yuxuan Sun Sheng Zhou Z. Niu 64 19 0 25 Feb 2023
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles Bowen Xie Yuxuan Sun Sheng Zhou Z. Niu Yang Xu Jingran Chen Deniz Gündüz 49 12 0 07 Dec 2022
Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles Md Ferdous Pervej Richeng Jin H. Dai 101 39 0 27 Oct 2022
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks Yuxuan Sun Bowen Xie Sheng Zhou Z. Niu 79 22 0 27 Oct 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q.S. Quek 66 15 0 27 Sep 2022
Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach Kaidi Wang Yi Ma Mahdi Boloursaz Mashhadi C. Foh Rahim Tafazolli Z. Ding FedML 79 12 0 14 Sep 2022
Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning Yuxuan Sun Sheng Zhou Z. Niu Deniz Gündüz 55 21 0 17 Feb 2022
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks Chenyuan Feng Heng Yang Deshun Hu Zhiwei Zhao Tony Q.S. Quek Geyong Min 89 80 0 20 Aug 2021
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints Yuxuan Sun Sheng Zhou Z. Niu Deniz Gündüz 97 99 0 31 May 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 119 416 0 05 Apr 2021
Time-Correlated Sparsification for Communication-Efficient Federated Learning Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 86 49 0 21 Jan 2021
Learning Lane Graph Representations for Motion Forecasting Ming Liang Binh Yang Rui Hu Yun Chen Renjie Liao Song Feng R. Urtasun 81 574 0 27 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning Wenqi Shi Sheng Zhou Z. Niu Miao Jiang Lu Geng 60 297 0 14 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
Federated Learning in Vehicular Networks Ahmet M. Elbir Burak Soner Sinem Coleri Deniz Gunduz M. Bennis 86 168 0 02 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 93 197 0 01 Apr 2020
Decentralized SGD with Over-the-Air Computation Emre Ozfatura Stefano Rini Deniz Gunduz 63 38 0 06 Mar 2020
Argoverse: 3D Tracking and Forecasting with Rich Maps Ming-Fang Chang John Lambert Patsorn Sangkloy Jagjeet Singh Sławomir Bąk ... De Wang Peter Carr Simon Lucey Deva Ramanan James Hays 3DPC 149 1,298 0 06 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 92 693 0 06 Nov 2019
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning Yuqing Du Sheng Yang Kaibin Huang 141 100 0 09 Oct 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 94 1,192 0 17 Sep 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 115 512 0 23 Jul 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 71 647 0 30 Dec 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen G. Giannakis Tao Sun W. Yin 58 298 0 25 May 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang 100 528 0 26 Oct 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 147 6,886 0 04 Jul 2017