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2302.00543
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DoCoFL: Downlink Compression for Cross-Device Federated Learning
International Conference on Machine Learning (ICML), 2023
1 February 2023
Ron Dorfman
S. Vargaftik
Y. Ben-Itzhak
Kfir Y. Levy
FedML
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Papers citing
"DoCoFL: Downlink Compression for Cross-Device Federated Learning"
22 / 22 papers shown
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
222
1
0
14 Oct 2025
H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning
Shiyuan Zuo
Rongfei Fan
Cheng Zhan
Jie Xu
P. Zhao
Han Hu
AAML
160
0
0
29 Sep 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
Per-element Secure Aggregation against Data Reconstruction Attacks in Federated Learning
Takumi Suimon
Yuki Koizumi
Junji Takemasa
Toru Hasegawa
FedML
219
0
0
06 Aug 2025
On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation Approach
Jiahui Bai
Hai Dong
•. A. K. Qin
FedML
172
1
0
05 Aug 2025
Tight analyses of first-order methods with error feedback
Daniel Berg Thomsen
Adrien B. Taylor
Hadrien Hendrikx
299
1
0
05 Jun 2025
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
Shiwei Li
Xiandi Luo
Haozhao Wang
Xing Tang
Shijie Xu
Weihong Luo
Yuhua Li
Xiuqiang He
Ruixuan Li
FedML
391
5
0
29 May 2025
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-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning
IEEE Conference on Computer Communications (IEEE INFOCOM), 2025
Rongwei Lu
Yutong Jiang
Jinrui Zhang
Chunyang Li
Yifei Zhu
Bin Chen
Zhi Wang
FedML
420
2
0
18 May 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
IEEE Conference on Computer Communications (IEEE INFOCOM), 2025
Qifan Yan
Andrew Liu
Shiqi He
Mathias Lécuyer
Ivan Beschastnikh
FedML
551
2
0
21 Apr 2025
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Neural Information Processing Systems (NeurIPS), 2024
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Yiu-ming Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedML
MoMe
AI4CE
380
19
0
27 Oct 2024
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
Yao Shu
Wenyang Hu
Szu Hui Ng
Bryan Kian Hsiang Low
Fei Richard Yu
FedML
555
5
0
10 Sep 2024
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning
European Conference on Artificial Intelligence (ECAI), 2024
Wenxuan Zhou
Zhihao Qu
Shen-Huan Lyu
Miao Cai
Baoliu Ye
390
1
0
25 Aug 2024
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
Shiyuan Zuo
Xingrun Yan
Rongfei Fan
Li Shen
P. Zhao
Jie Xu
Han Hu
FedML
454
3
0
18 Aug 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat
Artavazd Maranjyan
Peter Richtárik
496
11
0
07 Mar 2024
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions
Zeju Cai
Jianguo Chen
Yuting Fan
Zibin Zheng
Keqin Li
231
31
0
01 Mar 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
International Conference on Learning Representations (ICLR), 2024
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
339
23
0
10 Feb 2024
Optimal and Near-Optimal Adaptive Vector Quantization
Ran Ben-Basat
Y. Ben-Itzhak
Michael Mitzenmacher
S. Vargaftik
MQ
288
1
0
05 Feb 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin
Daoyuan Chen
Bingchen Qian
Bolin Ding
Yaliang Li
Shuiguang Deng
FedML
406
67
0
11 Dec 2023
Momentum Provably Improves Error Feedback!
Neural Information Processing Systems (NeurIPS), 2023
Ilyas Fatkhullin
Alexander Tyurin
Peter Richtárik
383
42
0
24 May 2023
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
Symposium on Networked Systems Design and Implementation (NSDI), 2023
Minghao Li
Ran Ben-Basat
S. Vargaftik
Chon-In Lao
Ke Xu
Michael Mitzenmacher
Minlan Yu Harvard University
423
28
0
16 Feb 2023
QUIC-FL: Quick Unbiased Compression for Federated Learning
Ran Ben-Basat
S. Vargaftik
Amit Portnoy
Gil Einziger
Y. Ben-Itzhak
Michael Mitzenmacher
FedML
372
14
0
26 May 2022
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching
Tahseen Rabbani
Brandon Yushan Feng
Marco Bornstein
Kyle Rui Sang
Yifan Yang
Arjun Rajkumar
A. Varshney
Furong Huang
FedML
311
3
0
17 Sep 2021
1
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