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2005.05238
Cited By
FedSplit: An algorithmic framework for fast federated optimization
11 May 2020
Reese Pathak
Martin J. Wainwright
FedML
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Papers citing
"FedSplit: An algorithmic framework for fast federated optimization"
21 / 121 papers shown
On Large-Cohort Training for Federated Learning
Neural Information Processing Systems (NeurIPS), 2021
Zachary B. Charles
Zachary Garrett
Zhouyuan Huo
Sergei Shmulyian
Virginia Smith
FedML
222
117
0
15 Jun 2021
Local Adaptivity in Federated Learning: Convergence and Consistency
Jianyu Wang
Zheng Xu
Zachary Garrett
Zachary B. Charles
Luyang Liu
Gauri Joshi
FedML
221
46
0
04 Jun 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Zachary B. Charles
Jakub Konecný
FedML
226
79
0
08 Mar 2021
FedDR -- Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Neural Information Processing Systems (NeurIPS), 2021
Quoc Tran-Dinh
Nhan H. Pham
Dzung Phan
Lam M. Nguyen
FedML
365
46
0
05 Mar 2021
Exploiting Shared Representations for Personalized Federated Learning
International Conference on Machine Learning (ICML), 2021
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
OOD
326
961
0
14 Feb 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Neural Information Processing Systems (NeurIPS), 2021
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
288
178
0
14 Feb 2021
Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications
Xiang Li
Zhihua Zhang
131
4
0
05 Jan 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
381
128
0
28 Dec 2020
FedEval: A Holistic Evaluation Framework for Federated Learning
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
FedML
262
15
0
19 Nov 2020
Federated Composite Optimization
International Conference on Machine Learning (ICML), 2020
Honglin Yuan
Manzil Zaheer
Sashank J. Reddi
FedML
296
63
0
17 Nov 2020
Local SGD: Unified Theory and New Efficient Methods
Eduard A. Gorbunov
Filip Hanzely
Peter Richtárik
FedML
228
119
0
03 Nov 2020
Fast Convergence Algorithm for Analog Federated Learning
Shuhao Xia
Jingyang Zhu
Yuhan Yang
Yong Zhou
Yuanming Shi
Wei Chen
FedML
136
33
0
30 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
International Conference on Learning Representations (ICLR), 2020
Maruan Al-Shedivat
Jennifer Gillenwater
Eric Xing
Afshin Rostamizadeh
FedML
315
125
0
11 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Neural Information Processing Systems (NeurIPS), 2020
Filip Hanzely
Slavomír Hanzely
Samuel Horváth
Peter Richtárik
FedML
279
205
0
05 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies
Yae Jee Cho
Jianyu Wang
Gauri Joshi
FedML
323
494
0
03 Oct 2020
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization
International Conference on Edge Computing [Services Society] (ICECSS), 2020
Achintya Kundu
Pengqian Yu
L. Wynter
Shiau Hong Lim
FedML
195
20
0
14 Sep 2020
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
IEEE Transactions on Signal Processing (TSP), 2020
Rahif Kassab
Osvaldo Simeone
FedML
573
50
0
11 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
680
1,710
0
15 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods
Zachary B. Charles
Jakub Konecný
FedML
214
57
0
02 Jul 2020
Federated Learning Meets Multi-objective Optimization
Zeou Hu
Kiarash Shaloudegi
Guojun Zhang
Yaoliang Yu
FedML
219
124
0
20 Jun 2020
Federated Accelerated Stochastic Gradient Descent
Honglin Yuan
Tengyu Ma
FedML
407
196
0
16 Jun 2020
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