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2102.04487
Cited By
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
8 February 2021
Divyansh Jhunjhunwala
Advait Gadhikar
Gauri Joshi
Yonina C. Eldar
FedML
MQ
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Papers citing
"Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning"
50 / 62 papers shown
ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models
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Yuanpu Cao
Jinghui Chen
FedML
326
0
0
25 Nov 2025
FedBiF: Communication-Efficient Federated Learning via Bits Freezing
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025
Shiwei Li
Qunwei Li
Haozhao Wang
Ruixuan Li
Jianbin Lin
Wenliang Zhong
FedML
MQ
246
1
0
12 Sep 2025
Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning Services
IEEE Transactions on Mobile Computing (IEEE TMC), 2025
Renxuan Tan
Rongpeng Li
Xiaoxue Yu
Xianfu Chen
Xing Xu
Zhifeng Zhao
209
2
0
22 Aug 2025
Spiking Brain Compression: Post-Training Second-order Compression for Spiking Neural Networks
Lianfeng Shi
Ao Li
Benjamin Ward-Cherrier
MQ
256
0
0
04 Jun 2025
FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization
Haonan Wang
Ziqiang Liu
Kajimusugura Hoshino
Tuo Zhang
J. Walters
S. Crago
321
2
0
01 Apr 2025
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Sudeep Salgia
Nikola Pavlovic
Yuejie Chi
Qing Zhao
315
0
0
06 Jan 2025
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
IEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2024
Afsaneh Mahmoudi
Ming Xiao
Emil Björnson
313
1
0
31 Dec 2024
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks
Afsaneh Mahmoudi
Emil Björnson
457
2
0
14 Dec 2024
Age-of-Gradient Updates for Federated Learning over Random Access Channels
Yu Heng Wu
Houman Asgari
Stefano Rini
Andrea Munari
FedML
190
2
0
15 Oct 2024
Green Federated Learning: A new era of Green Aware AI
ACM Computing Surveys (ACM CSUR), 2024
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Francesco Piccialli
AI4CE
542
49
0
19 Sep 2024
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization
Haemin Park
Diego Klabjan
FedML
506
5
0
19 Sep 2024
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
International Conference on Machine Learning (ICML), 2024
Shiwei Li
Wenchao Xu
Haozhao Wang
Xing Tang
Tianzhe Xiao
Shijie Xu
Weihong Luo
Yuhua Li
Xiuqiang He
Ruixuan Li
FedML
231
13
0
06 Aug 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization
Yujia Wang
Shiqiang Wang
Songtao Lu
Jinghui Chen
FedML
251
14
0
25 Jul 2024
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models
Jayneel Vora
Nader Bouacida
Aditya Krishnan
Prasant Mohapatra
FedML
258
5
0
20 Jul 2024
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
Cui Zhang
Wenjun Zhang
Qiong Wu
Pingyi Fan
Qiang Fan
Jiangzhou Wang
Khaled B. Letaief
465
87
0
11 Jul 2024
Energy-Efficient Channel Decoding for Wireless Federated Learning: Convergence Analysis and Adaptive Design
Linping Qu
Yuyi Mao
Shenghui Song
Chi-Ying Tsui
368
3
0
26 Jun 2024
FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization
Linping Qu
Shenghui Song
Chi-Ying Tsui
MQ
FedML
272
8
0
26 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
Khiem H. Le
Nhan Luong-Ha
Manh Nguyen-Duc
Danh Le-Phuoc
Cuong D. Do
Kok-Seng Wong
FedML
358
9
0
30 May 2024
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
Xiumei Deng
Jun Li
Kang Wei
Long Shi
Zeihui Xiong
Ming Ding
Wen Chen
Shi Jin
H. Vincent Poor
FedML
291
1
0
28 May 2024
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
Zhe Li
Bicheng Ying
Zidong Liu
Chaosheng Dong
Haibo Yang
FedML
614
18
0
24 May 2024
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth
Zhuansun Ying
Dandan Li
Xiaohong Huang
Caijun Sun
FedML
356
4
0
06 May 2024
SignSGD with Federated Voting
Chanho Park
H. Vincent Poor
Namyoon Lee
FedML
368
2
0
25 Mar 2024
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization
Xu Han
Wen Chen
Jun Li
Ming Ding
Qing-Bin Wu
Kang Wei
Xiumei Deng
Zhen Mei
MQ
287
11
0
20 Feb 2024
Green Edge AI: A Contemporary Survey
Proceedings of the IEEE (Proc. IEEE), 2023
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
482
78
0
01 Dec 2023
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices
Computer Vision and Pattern Recognition (CVPR), 2023
Huancheng Chen
H. Vikalo
FedML
MQ
377
22
0
29 Nov 2023
Fundamental Limits of Distributed Optimization over Multiple Access Channel
Information Theory Workshop (ITW), 2023
Shubham K. Jha
240
1
0
05 Oct 2023
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization in Device Selection Strategy
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Zihao Zhao
Yuzhu Mao
Zhenpeng Shi
Yang Liu
Tian-Shing Lan
Wenbo Ding
Xiaoping Zhang
478
19
0
01 Aug 2023
Private Federated Learning with Autotuned Compression
International Conference on Machine Learning (ICML), 2023
Enayat Ullah
Christopher A. Choquette-Choo
Peter Kairouz
Sewoong Oh
FedML
268
8
0
20 Jul 2023
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
355
46
0
20 Jul 2023
Joint Compression and Deadline Optimization for Wireless Federated Learning
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Maojun Zhang
Yongqian Li
Dongzhu Liu
Richeng Jin
Guangxu Zhu
Caijun Zhong
Tony Q. S. Quek
297
7
0
06 May 2023
Accelerating Hybrid Federated Learning Convergence under Partial Participation
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Jieming Bian
Lei Wang
Kun Yang
Cong Shen
Jie Xu
FedML
442
24
0
10 Apr 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients
Wenhao Yuan
Xuehe Wang
FedML
541
4
0
28 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
Zhaohui Yang
OOD
FedML
250
2
0
26 Mar 2023
Towards Accurate Post-Training Quantization for Vision Transformer
ACM Multimedia (ACM MM), 2022
Yifu Ding
Haotong Qin
Qing-Yu Yan
Z. Chai
Junjie Liu
Xiaolin K. Wei
Xianglong Liu
MQ
391
106
0
25 Mar 2023
Communication-Efficient Design for Quantized Decentralized Federated Learning
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Lixing Chen
Wei Liu
Yunfei Chen
Weidong Wang
FedML
MQ
326
24
0
15 Mar 2023
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service
Muhammad Jahanzeb Khan
Rui Hu
Mohammad Sadoghi
Dongfang Zhao
FedML
129
0
0
15 Mar 2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
IEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Tianpeng Deng
Yanqi Huang
Guoqiang Han
Zhenwei Shi
Jiatai Lin
Qianming Dou
Zaiyi Liu
Xiaohui Guo
Xin Chen
Chu Han
FedML
337
16
0
24 Feb 2023
Sparse-SignSGD with Majority Vote for Communication-Efficient Distributed Learning
International Symposium on Information Theory (ISIT), 2023
Chanho Park
Namyoon Lee
FedML
219
6
0
15 Feb 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Sudeep Salgia
Qing Zhao
T. Gabay
Kobi Cohen
FedML
383
15
0
21 Jan 2023
Network Adaptive Federated Learning: Congestion and Lossy Compression
IEEE Conference on Computer Communications (IEEE INFOCOM), 2023
Parikshit Hegde
G. Veciana
Aryan Mokhtari
FedML
289
10
0
11 Jan 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping study
Cluster Computing (CC), 2022
Rachid El Mokadem
Yann Ben Maissa
Zineb El Akkaoui
181
11
0
09 Jan 2023
Vertical Federated Learning: Concepts, Advances and Challenges
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yang Liu
Weijing Chen
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
535
329
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
245
1
0
14 Nov 2022
Distributed Linear Bandits under Communication Constraints
International Conference on Machine Learning (ICML), 2022
Sudeep Salgia
Qing Zhao
307
7
0
04 Nov 2022
Adaptive Compression for Communication-Efficient Distributed Training
Maksim Makarenko
Elnur Gasanov
Rustem Islamov
Abdurakhmon Sadiev
Peter Richtárik
362
18
0
31 Oct 2022
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient
Afsaneh Mahmoudi
José Hélio da Cruz Júnior
H. S. Ghadikolaei
Carlo Fischione
184
7
0
31 Oct 2022
Prototype-Based Layered Federated Cross-Modal Hashing
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jiale Liu
Yu-Wei Zhan
Xin Luo
Zhen-Duo Chen
Yongxin Wang
Xin-Shun Xu
FedML
167
6
0
27 Oct 2022
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2022
Yicheng Chen
Rick S. Blum
Brian M. Sadler
FedML
244
4
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24 Sep 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey
Journal of the Franklin Institute (JFI), 2022
Zihao Zhao
Yuzhu Mao
Yang Liu
Linqi Song
Ouyang Ye
Xinlei Chen
Wenbo Ding
FedML
404
74
0
02 Aug 2022
Communication-Efficient Federated Learning With Data and Client Heterogeneity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Hossein Zakerinia
Shayan Talaei
Giorgi Nadiradze
Dan Alistarh
FedML
555
13
0
20 Jun 2022
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