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1808.07576
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Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms
22 August 2018
Jianyu Wang
Gauri Joshi
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Papers citing
"Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms"
50 / 209 papers shown
Title
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
72
0
0
02 Dec 2024
Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis
Yipeng Liang
Qimei Chen
Hao Jiang
FedML
30
1
0
17 Sep 2024
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
Jiayi Wang
Shiqiang Wang
Rong-Rong Chen
Mingyue Ji
FedML
30
1
0
22 Jul 2024
DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
Minghao Yang
Jingjing Zhang
Shengyun Liu
FedML
37
2
0
08 Jul 2024
Improved Generalization Bounds for Communication Efficient Federated Learning
Peyman Gholami
H. Seferoglu
FedML
AI4CE
23
6
0
17 Apr 2024
Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
Liang Yu
Xiang Sun
Rana Albelaihi
Chaeeun Park
Sihua Shao
FedML
32
1
0
11 Mar 2024
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
29
28
0
12 Oct 2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data
Feng Zhu
Jingjing Zhang
Shengyun Liu
Xin Wang
FedML
19
1
0
04 Sep 2023
Guiding The Last Layer in Federated Learning with Pre-Trained Models
G. Legate
Nicolas Bernier
Lucas Caccia
Edouard Oyallon
Eugene Belilovsky
FedML
18
8
0
06 Jun 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Davoud Ataee Tarzanagh
Mingchen Li
Pranay Sharma
Samet Oymak
24
0
0
02 Jun 2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility
Xiaojin Zhang
Wenjie Li
Kai Chen
Shutao Xia
Qian Yang
FedML
22
9
0
24 May 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning
G. Legate
Lucas Caccia
Eugene Belilovsky
FedML
34
10
0
11 Apr 2023
On the Local Cache Update Rules in Streaming Federated Learning
Heqiang Wang
Jieming Bian
Jie Xu
24
4
0
28 Mar 2023
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss
Tuong Khanh Long Do
Binh X. Nguyen
Hien Nguyen
Erman Tjiputra
Quang-Dieu Tran
Te-Chuan Chiu
A. Nguyen
35
0
0
11 Mar 2023
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
M. Crawshaw
Yajie Bao
Mingrui Liu
FedML
24
8
0
14 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
Peiyao Xiao
Kaiyi Ji
FedML
26
10
0
09 Feb 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity
Han Wang
A. Mitra
Hamed Hassani
George J. Pappas
James Anderson
FedML
29
21
0
04 Feb 2023
Federated Learning for Appearance-based Gaze Estimation in the Wild
Mayar Elfares
Zhiming Hu
Pascal Reisert
Andreas Bulling
Ralf Küsters
FedML
21
11
0
14 Nov 2022
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
Marco Bornstein
Tahseen Rabbani
Evana Wang
Amrit Singh Bedi
Furong Huang
FedML
49
18
0
25 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning
Liang Yu
Xiang Sun
Rana Albelaihi
Chen Yi
FedML
32
13
0
19 Oct 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems
Xizixiang Wei
Cong Shen
Jing Yang
H. Vincent Poor
52
14
0
18 Oct 2022
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization
Feng Zhu
Jingjing Zhang
Xin Wang
33
3
0
06 Oct 2022
SAGDA: Achieving
O
(
ε
−
2
)
\mathcal{O}(ε^{-2})
O
(
ε
−
2
)
Communication Complexity in Federated Min-Max Learning
Haibo Yang
Zhuqing Liu
Xin Zhang
Jia-Wei Liu
FedML
30
0
0
02 Oct 2022
Flexible Vertical Federated Learning with Heterogeneous Parties
Timothy Castiglia
Shiqiang Wang
S. Patterson
FedML
31
34
0
26 Aug 2022
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning
Divyansh Jhunjhunwala
Pranay Sharma
Aushim Nagarkatti
Gauri Joshi
FedML
44
42
0
28 Jul 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
Tuong Khanh Long Do
Binh X. Nguyen
Vuong Pham
Toan V. Tran
Erman Tjiputra
Quang-Dieu Tran
A. Nguyen
FedML
AI4CE
33
3
0
20 Jul 2022
Multi-Model Federated Learning with Provable Guarantees
Neelkamal Bhuyan
Sharayu Moharir
Gauri Joshi
FedML
24
14
0
09 Jul 2022
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach
Naifu Zhang
M. Tao
Jia Wang
Fan Xu
11
13
0
28 Jun 2022
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data
Jianyu Wang
Rudrajit Das
Gauri Joshi
Satyen Kale
Zheng Xu
Tong Zhang
FedML
34
38
0
09 Jun 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
32
75
0
27 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution
Heqiang Wang
Jie Xu
FedML
23
5
0
26 May 2022
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Mingrui Liu
Zhenxun Zhuang
Yunwei Lei
Chunyang Liao
30
16
0
10 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh
Mingchen Li
Christos Thrampoulidis
Samet Oymak
FedML
40
73
0
04 May 2022
Data-heterogeneity-aware Mixing for Decentralized Learning
Yatin Dandi
Anastasia Koloskova
Martin Jaggi
Sebastian U. Stich
38
18
0
13 Apr 2022
Distributed Evolution Strategies for Black-box Stochastic Optimization
Xiaoyu He
Zibin Zheng
Chuan Chen
Yuren Zhou
Chuan Luo
Qingwei Lin
24
4
0
09 Apr 2022
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
Han Wang
Siddartha Marella
James Anderson
FedML
6
39
0
28 Mar 2022
Sparse Federated Learning with Hierarchical Personalized Models
Xiaofeng Liu
Qing Wang
Yunfeng Shao
Yinchuan Li
FedML
47
11
0
25 Mar 2022
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography
J. Kim
Taha Toghani
César A. Uribe
Anastasios Kyrillidis
27
3
0
22 Mar 2022
The Role of Local Steps in Local SGD
Tiancheng Qin
S. Rasoul Etesami
César A. Uribe
15
4
0
14 Mar 2022
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
24
17
0
09 Mar 2022
On Federated Learning with Energy Harvesting Clients
Cong Shen
Jing Yang
Jie Xu
FedML
14
6
0
12 Feb 2022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Sheikh Shams Azam
Seyyedali Hosseinalipour
Qiang Qiu
Christopher G. Brinton
FedML
20
20
0
01 Feb 2022
Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning
Xing Xu
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
FedML
28
6
0
30 Jan 2022
Gradient Masked Averaging for Federated Learning
Irene Tenison
Sai Aravind Sreeramadas
Vaikkunth Mugunthan
Edouard Oyallon
Irina Rish
Eugene Belilovsky
FedML
68
24
0
28 Jan 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
FedML
24
6
0
27 Jan 2022
Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits
Sunwoo Lee
Anit Kumar Sahu
Chaoyang He
Salman Avestimehr
FedML
25
16
0
11 Jan 2022
Federated Optimization of Smooth Loss Functions
Ali Jadbabaie
A. Makur
Devavrat Shah
FedML
21
7
0
06 Jan 2022
Communication-Efficient Distributed SGD with Compressed Sensing
Yujie Tang
V. Ramanathan
Junshan Zhang
Na Li
FedML
12
8
0
15 Dec 2021
Efficient and Reliable Overlay Networks for Decentralized Federated Learning
Yifan Hua
Kevin Miller
Andrea L. Bertozzi
Chao Qian
Bao Wang
OOD
FedML
39
20
0
12 Dec 2021
Collaborative Learning over Wireless Networks: An Introductory Overview
Emre Ozfatura
Deniz Gunduz
H. Vincent Poor
22
11
0
07 Dec 2021
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