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1910.03865
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High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning
9 October 2019
Yuqing Du
Sheng Yang
Kaibin Huang
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Papers citing
"High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning"
15 / 15 papers shown
Title
TAGC: Optimizing Gradient Communication in Distributed Transformer Training
Igor Polyakov
Alexey Dukhanov
Egor Spirin
39
0
0
08 Apr 2025
Communication-efficient Vertical Federated Learning via Compressed Error Feedback
Pedro Valdeira
João Xavier
Cláudia Soares
Yuejie Chi
FedML
30
4
0
20 Jun 2024
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression
Yong-Nam Oh
Jaeho Lee
Christopher G. Brinton
Yo-Seb Jeon
MQ
23
7
0
20 Jul 2023
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise
Antesh Upadhyay
Abolfazl Hashemi
29
9
0
14 Jul 2023
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Xizixiang Wei
Cong Shen
Jing Yang
H. Vincent Poor
37
14
0
18 Oct 2022
Enabling All In-Edge Deep Learning: A Literature Review
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
14
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
14
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
6
34
0
30 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
26
414
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
16
1
0
31 Aug 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
21
31
0
20 Apr 2021
Design and Analysis of Uplink and Downlink Communications for Federated Learning
Sihui Zheng
Cong Shen
Xiang Chen
14
138
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
29
111
0
02 Dec 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks
Richeng Jin
Xiaofan He
H. Dai
13
25
0
15 Apr 2020
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
8
326
0
22 Feb 2020
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