Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2102.04487
Cited By
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
8 February 2021
Divyansh Jhunjhunwala
Advait Gadhikar
Gauri Joshi
Yonina C. Eldar
FedML
MQ
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning"
16 / 16 papers shown
Title
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Afsaneh Mahmoudi
Ming Xiao
Emil Björnson
58
0
0
31 Dec 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Haibo Yang
Haibo Yang
FedML
59
3
0
24 May 2024
SignSGD with Federated Voting
Chanho Park
H. Vincent Poor
Namyoon Lee
FedML
38
1
0
25 Mar 2024
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
40
23
0
20 Jul 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients
Wenhao Yuan
Xuehe Wang
FedML
41
0
0
28 Mar 2023
Towards Accurate Post-Training Quantization for Vision Transformer
Yifu Ding
Haotong Qin
Qing-Yu Yan
Z. Chai
Junjie Liu
Xiaolin K. Wei
Xianglong Liu
MQ
54
68
0
25 Mar 2023
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
57
161
0
23 Nov 2022
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing
Hai M. Nguyen
N. Chu
Diep N. Nguyen
D. Hoang
Van-Dinh Nguyen
Minh Hoàng Hà
E. Dutkiewicz
Marwan Krunz
FedML
17
1
0
14 Nov 2022
Distributed Linear Bandits under Communication Constraints
Sudeep Salgia
Qing Zhao
29
7
0
04 Nov 2022
Adaptive Compression for Communication-Efficient Distributed Training
Maksim Makarenko
Elnur Gasanov
Rustem Islamov
Abdurakhmon Sadiev
Peter Richtárik
21
12
0
31 Oct 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
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
Communication-Efficient Adaptive Federated Learning
Yujia Wang
Lu Lin
Jinghui Chen
FedML
21
70
0
05 May 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Robert Hönig
Yiren Zhao
Robert D. Mullins
FedML
104
53
0
31 Oct 2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal?
Shubham K. Jha
Prathamesh Mayekar
Himanshu Tyagi
24
7
0
11 Sep 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
165
760
0
28 Sep 2019
1