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2002.02090
Cited By
Faster On-Device Training Using New Federated Momentum Algorithm
6 February 2020
Zhouyuan Huo
Qian Yang
Bin Gu
Heng-Chiao Huang
FedML
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Papers citing
"Faster On-Device Training Using New Federated Momentum Algorithm"
29 / 29 papers shown
MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
Alex Iacob
Andrej Jovanovic
M. Safaryan
Meghdad Kurmanji
Lorenzo Sani
Samuel Horváth
William F. Shen
Xinchi Qiu
Nicholas D. Lane
AI4CE
178
1
0
06 Oct 2025
OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC
Sahil Tyagi
Andrei Cozma
Olivera Kotevska
Feiyi Wang
FedML
266
3
0
23 Sep 2025
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
433
6
0
02 Dec 2024
Photon: Federated LLM Pre-Training
Lorenzo Sani
Alex Iacob
Zeyu Cao
Royson Lee
Bill Marino
...
Dongqi Cai
Zexi Li
Wanru Zhao
Xinchi Qiu
Nicholas D. Lane
AI4CE
357
22
0
05 Nov 2024
Semi-Variance Reduction for Fair Federated Learning
Saber Malekmohammadi
Yaoliang Yu
FedML
467
2
0
23 Jun 2024
Worldwide Federated Training of Language Models
Alexandru Iacob
Lorenzo Sani
Bill Marino
Preslav Aleksandrov
William F. Shen
Nicholas D. Lane
FedML
453
7
0
23 May 2024
The Future of Large Language Model Pre-training is Federated
Lorenzo Sani
Alexandru Iacob
Zeyu Cao
Bill Marino
Yan Gao
...
Wanru Zhao
William F. Shen
Preslav Aleksandrov
Xinchi Qiu
Nicholas D. Lane
AI4CE
502
43
0
17 May 2024
Asynchronous Local-SGD Training for Language Modeling
Bo Liu
Rachita Chhaparia
Arthur Douillard
Satyen Kale
Andrei A. Rusu
Jiajun Shen
Arthur Szlam
MarcÁurelio Ranzato
FedML
344
20
0
17 Jan 2024
DiLoCo: Distributed Low-Communication Training of Language Models
Arthur Douillard
Qixuang Feng
Andrei A. Rusu
Rachita Chhaparia
Yani Donchev
A. Kuncoro
MarcÁurelio Ranzato
Arthur Szlam
Jiajun Shen
423
91
0
14 Nov 2023
FilFL: Client Filtering for Optimized Client Participation in Federated Learning
European Conference on Artificial Intelligence (ECAI), 2023
Fares Fourati
Salma Kharrat
Vaneet Aggarwal
Mohamed-Slim Alouini
Marco Canini
FedML
333
7
0
13 Feb 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
184
11
0
09 Jan 2023
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
Zhengjie Yang
Sen Fu
Wei Bao
Dong Yuan
Albert Y. Zomaya
FedML
248
15
0
26 Oct 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Hao Zhang
Tingting Wu
Siyao Cheng
Jie Liu
FedML
221
15
0
07 Apr 2022
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Howard H. Yang
Zuozhu Liu
Yaru Fu
Tony Q.S. Quek
H. Vincent Poor
FedML
232
7
0
17 Feb 2022
Federated Optimization of Smooth Loss Functions
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Ali Jadbabaie
A. Makur
Devavrat Shah
FedML
757
11
0
06 Jan 2022
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
Yae Jee Cho
Jianyu Wang
Tarun Chiruvolu
Gauri Joshi
FedML
263
46
0
16 Sep 2021
An Operator Splitting View of Federated Learning
Saber Malekmohammadi
Kiarash Shaloudegi
Zeou Hu
Yaoliang Yu
FedML
482
3
0
12 Aug 2021
FedCM: Federated Learning with Client-level Momentum
Jing Xu
Sen Wang
Liwei Wang
Andrew Chi-Chih Yao
FedML
375
146
0
21 Jun 2021
Personalized Federated Learning using Hypernetworks
International Conference on Machine Learning (ICML), 2021
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
553
446
0
08 Mar 2021
Coordinating Momenta for Cross-silo Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
An Xu
Heng-Chiao Huang
FedML
209
24
0
08 Feb 2021
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2020
Amirhossein Reisizadeh
Isidoros Tziotis
Hamed Hassani
Aryan Mokhtari
Ramtin Pedarsani
FedML
431
143
0
28 Dec 2020
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020
Yuhao Zhou
Qing Ye
Jiancheng Lv
FedML
378
180
0
12 Dec 2020
Faster Non-Convex Federated Learning via Global and Local Momentum
Rudrajit Das
Anish Acharya
Abolfazl Hashemi
Sujay Sanghavi
Inderjit S. Dhillon
Ufuk Topcu
FedML
611
98
0
07 Dec 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho
Jianyu Wang
Gauri Joshi
FedML
451
518
0
03 Oct 2020
Federated Learning with Nesterov Accelerated Gradient
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020
Zhengjie Yang
Wei Bao
Dong Yuan
Nguyen H. Tran
Albert Y. Zomaya
FedML
352
45
0
18 Sep 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data
Qianqian Tong
Guannan Liang
J. Bi
FedML
352
28
0
14 Sep 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Neural Information Processing Systems (NeurIPS), 2020
Jianyu Wang
Qinghua Liu
Hao Liang
Gauri Joshi
H. Vincent Poor
MoMe
FedML
826
1,892
0
15 Jul 2020
Federated Learning Meets Multi-objective Optimization
Zeou Hu
Kiarash Shaloudegi
Guojun Zhang
Yaoliang Yu
FedML
313
135
0
20 Jun 2020
Federated Learning With Quantized Global Model Updates
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
FedML
314
150
0
18 Jun 2020
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