High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning

9 October 2019

Papers citing "High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning"

21 / 21 papers shown

Title
TAGC: Optimizing Gradient Communication in Distributed Transformer Training Igor Polyakov Alexey Dukhanov Egor Spirin 41 0 0 08 Apr 2025
Communication-efficient Vertical Federated Learning via Compressed Error Feedback Pedro Valdeira João Xavier Cláudia Soares Yuejie Chi FedML 42 4 0 20 Jun 2024
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching Sujin Kook Won-Yong Shin Seong-Lyun Kim Seung-Woo Ko 29 1 0 19 Feb 2024
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 33 7 0 20 Jul 2023
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise Antesh Upadhyay Abolfazl Hashemi 39 9 0 14 Jul 2023
Random Orthogonalization for Federated Learning in Massive MIMO Systems Xizixiang Wei Cong Shen Jing Yang H. Vincent Poor 52 14 0 18 Oct 2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing Yong-Nam Oh Yo-Seb Jeon Mingzhe Chen Walid Saad FedML 22 10 0 16 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 25 22 0 07 Apr 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 30 45 0 21 Mar 2022
Communication-Efficient Federated Learning via Quantized Compressed Sensing Yong-Nam Oh Namyoon Lee Yo-Seb Jeon H. Vincent Poor FedML MQ 22 34 0 30 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization Shuai Wang Dachuan Li Rui-cang Wang Qi Hao Yik-Chung Wu Derrick Wing Kwan Ng 23 1 0 31 Aug 2021
Smoothed Differential Privacy Ao Liu Yu-Xiang Wang Lirong Xia 30 0 0 04 Jul 2021
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis Zezhong Zhang Guangxu Zhu Rui-cang Wang Vincent K. N. Lau Kaibin Huang 33 31 0 20 Apr 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer Qunsong Zeng Yuqing Du Kaibin Huang 29 35 0 24 Feb 2021
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 39 139 0 07 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni E. Hossain Xin Wang AI4CE 45 111 0 02 Dec 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q. S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 49 218 0 05 Jul 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks Richeng Jin Xiaofan He H. Dai 34 25 0 15 Apr 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020
Cooperative Learning via Federated Distillation over Fading Channels Jinhyun Ahn Osvaldo Simeone Joonhyuk Kang FedML 19 29 0 03 Feb 2020