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Federated Learning: Strategies for Improving Communication Efficiency
18 October 2016
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
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Papers citing
"Federated Learning: Strategies for Improving Communication Efficiency"
50 / 1,868 papers shown
Title
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
304
6,354
0
10 Dec 2019
Collective Learning
Francesco Farina
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80
23
0
05 Dec 2019
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration
Zirui Xu
Zhao Yang
Jinjun Xiong
Xiang Chen
FedML
125
60
0
03 Dec 2019
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
101
854
0
02 Dec 2019
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Kairan Yang
Tao Fan
Tianjian Chen
Yuanming Shi
Qiang Yang
FedML
76
94
0
01 Dec 2019
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
Han Zhang
Hong Xu
26
1
0
01 Dec 2019
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Keith Bonawitz
Fariborz Salehi
Jakub Konecný
H. B. McMahan
Marco Gruteser
FedML
100
75
0
30 Nov 2019
Free-riders in Federated Learning: Attacks and Defenses
Jierui Lin
Min Du
Jian-Dong Liu
FedML
78
113
0
28 Nov 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Minghong Fang
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
AAML
OOD
FedML
135
1,137
0
26 Nov 2019
Federated Learning for Ranking Browser History Suggestions
Florian Hartmann
Sunah Suh
Arkadiusz Komarzewski
Tim Smith
I. Segall
FedML
62
55
0
26 Nov 2019
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks
Yansong Gao
Yeonjae Kim
Bao Gia Doan
Zhi-Li Zhang
Gongxuan Zhang
Surya Nepal
Damith C. Ranasinghe
Hyoungshick Kim
AAML
81
92
0
23 Nov 2019
Communication-Efficient and Byzantine-Robust Distributed Learning with Error Feedback
Avishek Ghosh
R. Maity
S. Kadhe
A. Mazumdar
Kannan Ramchandran
FedML
58
27
0
21 Nov 2019
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
Yanghua Peng
73
42
0
20 Nov 2019
vqSGD: Vector Quantized Stochastic Gradient Descent
V. Gandikota
Daniel Kane
R. Maity
A. Mazumdar
MQ
68
4
0
18 Nov 2019
Distributed Machine Learning through Heterogeneous Edge Systems
Han Hu
Dan Wang
Chuan Wu
71
43
0
16 Nov 2019
Asynchronous Distributed Learning from Constraints
Francesco Farina
S. Melacci
A. Garulli
Antonio Giannitrapani
75
6
0
13 Nov 2019
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning
XINYAN DAI
Xiao Yan
Kaiwen Zhou
Han Yang
K. K. Ng
James Cheng
Yu Fan
FedML
76
47
0
12 Nov 2019
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning
Dingzhu Wen
Xiaoyang Li
Qunsong Zeng
Jinke Ren
Kaibin Huang
79
25
0
10 Nov 2019
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning
Anis Elgabli
Jihong Park
Sabbir Ahmed
M. Bennis
FedML
75
21
0
09 Nov 2019
Secure Federated Submodel Learning
Chaoyue Niu
Fan Wu
Shaojie Tang
Lifeng Hua
Rongfei Jia
Chengfei Lv
Zhihua Wu
Guihai Chen
FedML
69
31
0
06 Nov 2019
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data
Yujing Chen
Yue Ning
Martin Slawski
Huzefa Rangwala
FedML
101
56
0
05 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches
Sitan Chen
Jingkai Li
Ankur Moitra
OOD
FedML
81
16
0
05 Nov 2019
A Crowdsourcing Framework for On-Device Federated Learning
Shashi Raj Pandey
N. H. Tran
M. Bennis
Y. Tun
Aunas Manzoor
Choong Seon Hong
FedML
80
253
0
04 Nov 2019
Robust Federated Learning with Noisy Communication
F. Ang
Li Chen
Senior Member Ieee Nan Zhao
Senior Member Ieee Yunfei Chen
Weidong Wang
Feng Yu
FedML
63
120
0
01 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Heng Yang
Farokhi Farhad
Shi Jin
Tony Q.S. Quek
H. Vincent Poor
FedML
143
1,645
0
01 Nov 2019
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data
Yuxuan Sun
Sheng Zhou
Deniz Gündüz
FedML
68
96
0
01 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning
Farzin Haddadpour
M. Mahdavi
FedML
97
275
0
31 Oct 2019
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection
Lingchen Zhao
Shengshan Hu
Qian Wang
Jianlin Jiang
Chao Shen
Xiangyang Luo
Pengfei Hu
AAML
79
96
0
29 Oct 2019
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation
Canh T. Dinh
N. H. Tran
Minh N. H. Nguyen
Choong Seon Hong
Wei Bao
Albert Y. Zomaya
Vincent Gramoli
FedML
148
337
0
29 Oct 2019
Distributed Networked Learning with Correlated Data
Lingzhou Hong
Alfredo García
Ceyhun Eksin
FedML
39
1
0
28 Oct 2019
Evaluating Lottery Tickets Under Distributional Shifts
Shrey Desai
Hongyuan Zhan
Ahmed Aly
UQCV
OOD
90
41
0
28 Oct 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data
Sabri Boughorbel
Fethi Jarray
Neethu Venugopal
S. Moosa
Haithum Elhadi
Michel Makhlouf
OOD
FedML
131
54
0
27 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
996
20,462
0
23 Oct 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
Anis Elgabli
Jihong Park
Amrit Singh Bedi
Chaouki Ben Issaid
M. Bennis
Vaneet Aggarwal
134
67
0
23 Oct 2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving
Rulin Shao
Hongyu Hè
Hui Liu
Dianbo Liu
FedML
OOD
207
13
0
23 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
322
6,391
0
22 Oct 2019
Abnormal Client Behavior Detection in Federated Learning
Suyi Li
Yong Cheng
Yang Liu
Wei Wang
Tianjian Chen
AAML
71
135
0
22 Oct 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating
Xin Yao
Tianchi Huang
Ruixiao Zhang
Ruiyu Li
Lifeng Sun
FedML
85
72
0
18 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
Sai Praneeth Karimireddy
Satyen Kale
M. Mohri
Sashank J. Reddi
Sebastian U. Stich
A. Suresh
FedML
77
348
0
14 Oct 2019
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
Jy-yong Sohn
Dong-Jun Han
Beongjun Choi
Jaekyun Moon
FedML
98
37
0
14 Oct 2019
Eavesdrop the Composition Proportion of Training Labels in Federated Learning
Lixu Wang
Shichao Xu
Tianlin Li
Qi Zhu
FedML
85
63
0
14 Oct 2019
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach
Haoran Sun
Songtao Lu
Mingyi Hong
74
37
0
13 Oct 2019
Quantification of the Leakage in Federated Learning
Zhaorui Li
Zhicong Huang
Chaochao Chen
Cheng Hong
FedML
PILM
68
22
0
12 Oct 2019
Central Server Free Federated Learning over Single-sided Trust Social Networks
Chaoyang He
Conghui Tan
Hanlin Tang
Shuang Qiu
Ji Liu
FedML
77
75
0
11 Oct 2019
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning
Yuqing Du
Sheng Yang
Kaibin Huang
149
100
0
09 Oct 2019
Federated Learning of N-gram Language Models
Mingqing Chen
A. Suresh
Rajiv Mathews
Adeline Wong
Cyril Allauzen
F. Beaufays
Michael Riley
FedML
122
76
0
08 Oct 2019
Accelerating Federated Learning via Momentum Gradient Descent
Wei Liu
Li Chen
Yunfei Chen
Wenyi Zhang
FedML
AI4CE
88
294
0
08 Oct 2019
Operational Calibration: Debugging Confidence Errors for DNNs in the Field
Zenan Li
Xiaoxing Ma
Chang Xu
Jingwei Xu
Chun Cao
Jian Lu
58
28
0
06 Oct 2019
Neural Multisensory Scene Inference
Jae Hyun Lim
Pedro H. O. Pinheiro
Negar Rostamzadeh
C. Pal
Sungjin Ahn
48
10
0
06 Oct 2019
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning
Rulin Shao
Hui Liu
Dianbo Liu
43
9
0
04 Oct 2019
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