Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1805.09965
Cited By
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
25 May 2018
Tianyi Chen
G. Giannakis
Tao Sun
W. Yin
Re-assign community
ArXiv
PDF
HTML
Papers citing
"LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning"
50 / 62 papers shown
Title
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent
Shuche Wang
Vincent Y. F. Tan
FedML
OOD
47
1
0
19 Jul 2024
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
Jiaxiang Geng
Boyu Li
Xiaoqi Qin
Yixuan Li
Liang Li
Yanzhao Hou
Miao Pan
FedML
38
0
0
01 Jul 2024
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework
Siyuan Yu
Wei Chen
H. V. Poor
32
0
0
17 Jun 2024
Distributed Event-Based Learning via ADMM
Güner Dilsad Er
Sebastian Trimpe
Michael Muehlebach
FedML
44
2
0
17 May 2024
Version age-based client scheduling policy for federated learning
Xinyi Hu
Nikolaos Pappas
Howard H. Yang
28
3
0
08 Feb 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Elissa Mhanna
Mohamad Assaad
41
1
0
30 Jan 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
P. M. Ghari
Yanning Shen
FedML
46
1
0
19 Jan 2024
EcoLearn: Optimizing the Carbon Footprint of Federated Learning
Talha Mehboob
Noman Bashir
Jesus Omana Iglesias
Michael Zink
David E. Irwin
20
0
0
27 Oct 2023
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization
Qianyu Long
Christos Anagnostopoulos
S. P. Parambath
Daning Bi
AI4CE
FedML
23
2
0
13 Sep 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Sajjad Emdadi Mahdimahalleh
AI4CE
30
0
0
01 Aug 2023
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression
Yutong He
Xinmeng Huang
Yiming Chen
W. Yin
Kun Yuan
28
7
0
12 May 2023
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Xue Yu
Ziyi Liu
Wu Wang
Yifan Sun
FedML
32
7
0
08 Nov 2022
Adaptive Compression for Communication-Efficient Distributed Training
Maksim Makarenko
Elnur Gasanov
Rustem Islamov
Abdurakhmon Sadiev
Peter Richtárik
31
12
0
31 Oct 2022
Blind Asynchronous Over-the-Air Federated Edge Learning
Saeed Razavikia
Jaume Anguera Peris
J. M. B. D. Silva
Carlo Fischione
FedML
19
11
0
31 Oct 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning
Gergely Németh
M. Lozano
Novi Quadrianto
Nuria Oliver
FedML
102
14
0
27 Sep 2022
Fast Heterogeneous Federated Learning with Hybrid Client Selection
Guangyuan Shen
D. Gao
Duanxiao Song
Libin Yang
Xukai Zhou
Shirui Pan
W. Lou
Fang Zhou
FedML
34
12
0
10 Aug 2022
QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM
Ping Xu
Yue Wang
Xiang Chen
Zhi Tian
18
2
0
04 Aug 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
Ziyan Yin
32
0
0
13 Jul 2022
Lazy Queries Can Reduce Variance in Zeroth-order Optimization
Quan-Wu Xiao
Qing Ling
Tianyi Chen
35
0
0
14 Jun 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning
Ali Bereyhi
Adela Vagollari
S. Asaad
R. Muller
W. Gerstacker
H. Vincent Poor
23
6
0
14 Jun 2022
Event-triggered Approximate Byzantine Consensus with Multi-hop Communication
Liwei Yuan
H. Ishii
AAML
16
14
0
19 Apr 2022
FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning
Afsaneh Mahmoudi
H. S. Ghadikolaei
José Hélio da Cruz Júnior
Carlo Fischione
24
9
0
16 Apr 2022
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation
Yulun Tian
Amrit Singh Bedi
Alec Koppel
Miguel Calvo-Fullana
David M. Rosen
Jonathan P. How
22
5
0
02 Mar 2022
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
Nicolò Dal Fabbro
S. Dey
M. Rossi
Luca Schenato
FedML
29
14
0
11 Feb 2022
Distributed Learning With Sparsified Gradient Differences
Yicheng Chen
Rick S. Blum
Martin Takáč
Brian M. Sadler
23
15
0
05 Feb 2022
Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD
Feng Zhu
Jingjing Zhang
Osvaldo Simeone
Xin Eric Wang
19
0
0
12 Jan 2022
Federated Reinforcement Learning at the Edge
Konstantinos Gatsis
FedML
21
5
0
11 Dec 2021
Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient
Xiaoge Deng
Dongsheng Li
Tao Sun
Xicheng Lu
FedML
23
0
0
08 Dec 2021
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying
Kun Yuan
Yiming Chen
Hanbin Hu
Pan Pan
W. Yin
FedML
39
83
0
26 Oct 2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Student Member Ieee Hao Chen
Shaocheng Huang
Deyou Zhang
Ming Xiao
Fellow Ieee Mikael Skoglund
L. F. I. H. Vincent Poor
25
94
0
22 Oct 2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
Xin-Yue Fan
Yue Wang
Yan Huo
Zhi Tian
FedML
22
23
0
18 Oct 2021
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
B. Soret
L. Nguyen
J. Seeger
Arne Bröring
Chaouki Ben Issaid
S. Samarakoon
Anis El Gabli
V. Kulkarni
M. Bennis
P. Popovski
25
13
0
04 Oct 2021
Accelerated Gradient Descent Learning over Multiple Access Fading Channels
Raz Paul
Yuval Friedman
Kobi Cohen
22
30
0
26 Jul 2021
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning
Madhusanka Manimel Wadu
S. Samarakoon
M. Bennis
18
51
0
12 Jun 2021
Decentralized Federated Averaging
Tao Sun
Dongsheng Li
Bao Wang
FedML
40
207
0
23 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
35
401
0
05 Apr 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
Jie Xu
Heqiang Wang
Lixing Chen
FedML
56
43
0
10 Jan 2021
On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
Abolfazl Hashemi
Anish Acharya
Rudrajit Das
H. Vikalo
Sujay Sanghavi
Inderjit Dhillon
12
7
0
20 Nov 2020
FederBoost: Private Federated Learning for GBDT
Zhihua Tian
Rui Zhang
Xiaoyang Hou
Jian-wei Liu
K. Ren
Jian Liu
Kui Ren
FedML
AI4CE
47
66
0
05 Nov 2020
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM
Chaouki Ben Issaid
Anis Elgabli
Jihong Park
M. Bennis
Mérouane Debbah
FedML
31
13
0
14 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
34
161
0
06 Aug 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning
Wenchao Xia
Tony Q. S. Quek
Kun Guo
Wanli Wen
Howard H. Yang
Hongbo Zhu
FedML
45
218
0
05 Jul 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning
Myungjae Shin
Chihoon Hwang
Joongheon Kim
Jihong Park
M. Bennis
Seong-Lyun Kim
FedML
22
108
0
09 Jun 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data
Xinwei Zhang
Mingyi Hong
S. Dhople
W. Yin
Yang Liu
FedML
21
227
0
22 May 2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
Dingzhu Wen
M. Bennis
Kaibin Huang
29
48
0
10 Mar 2020
Communication optimization strategies for distributed deep neural network training: A survey
Shuo Ouyang
Dezun Dong
Yemao Xu
Liquan Xiao
22
12
0
06 Mar 2020
Communication-Efficient Edge AI: Algorithms and Systems
Yuanming Shi
Kai Yang
Tao Jiang
Jun Zhang
Khaled B. Letaief
GNN
17
326
0
22 Feb 2020
COKE: Communication-Censored Decentralized Kernel Learning
Ping Xu
Yue Wang
Xiang Chen
Z. Tian
13
20
0
28 Jan 2020
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning
Haozhao Wang
Zhihao Qu
Song Guo
Xin Gao
Ruixuan Li
Baoliu Ye
FedML
6
8
0
22 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless Networks
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
20
295
0
22 Jan 2020
1
2
Next