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Federated Learning: Strategies for Improving Communication Efficiency
v1v2 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

50 / 1,868 papers shown
Title
M22: A Communication-Efficient Algorithm for Federated Learning Inspired
  by Rate-Distortion
M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion
Yangyi Liu
Stefano Rini
Sadaf Salehkalaibar
Jun Chen
FedML
56
4
0
23 Jan 2023
Combined Use of Federated Learning and Image Encryption for
  Privacy-Preserving Image Classification with Vision Transformer
Combined Use of Federated Learning and Image Encryption for Privacy-Preserving Image Classification with Vision Transformer
Teru Nagamori
Hitoshi Kiya
ViTFedML
36
4
0
23 Jan 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning
  under Cumulative Regret
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret
Sudeep Salgia
Qing Zhao
T. Gabay
Kobi Cohen
FedML
88
12
0
21 Jan 2023
On the Vulnerability of Backdoor Defenses for Federated Learning
On the Vulnerability of Backdoor Defenses for Federated Learning
Pei Fang
Jinghui Chen
FedML
77
34
0
19 Jan 2023
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop
  Wireless Networks
Jamming Attacks on Decentralized Federated Learning in General Multi-Hop Wireless Networks
Yi Shi
Y. Sagduyu
T. Erpek
AAML
126
4
0
12 Jan 2023
Federated Learning under Heterogeneous and Correlated Client
  Availability
Federated Learning under Heterogeneous and Correlated Client Availability
Angelo Rodio
Francescomaria Faticanti
Othmane Marfoq
Giovanni Neglia
Emilio Leonardi
FedML
84
27
0
11 Jan 2023
Network Adaptive Federated Learning: Congestion and Lossy Compression
Network Adaptive Federated Learning: Congestion and Lossy Compression
Parikshit Hegde
G. Veciana
Aryan Mokhtari
FedML
116
5
0
11 Jan 2023
Federated Learning for Energy Constrained IoT devices: A systematic
  mapping study
Federated Learning for Energy Constrained IoT devices: A systematic mapping study
Rachid El Mokadem
Yann Ben Maissa
Zineb El Akkaoui
70
8
0
09 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications
FedDebug: Systematic Debugging for Federated Learning Applications
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
98
11
0
09 Jan 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous
  Edge Devices
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
Peichun Li
Guoliang Cheng
Xumin Huang
Jiawen Kang
Rong Yu
Yuan Wu
Miao Pan
FedML
113
22
0
08 Jan 2023
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
IronForge: An Open, Secure, Fair, Decentralized Federated Learning
Guangsheng Yu
Xu Wang
Caijun Sun
Qin Wang
Ping Yu
Wei Ni
R. Liu
Xiwei Xu
OODAI4CE
78
26
0
07 Jan 2023
Single-round Self-supervised Distributed Learning using Vision
  Transformer
Single-round Self-supervised Distributed Learning using Vision Transformer
Sangjoon Park
Ik-jae Lee
Jun Won Kim
Jong Chul Ye
FedMLMedIm
83
1
0
05 Jan 2023
Federated Learning for Data Streams
Federated Learning for Data Streams
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
82
12
0
04 Jan 2023
Decentralized Gradient Tracking with Local Steps
Decentralized Gradient Tracking with Local Steps
Yue Liu
Tao R. Lin
Anastasia Koloskova
Sebastian U. Stich
114
41
0
03 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and
  Semantics
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Yahao Ding
Zhaohui Yang
Quoc-Viet Pham
Zhaoyang Zhang
M. Shikh-Bahaei
86
38
0
03 Jan 2023
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
111
239
0
02 Jan 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax
  Rates, Covariate Quantization, and Uniform Recovery
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery
Junren Chen
Michael Kwok-Po Ng
Di Wang
MQ
91
14
0
30 Dec 2022
An Optimal Algorithm for Strongly Convex Min-min Optimization
An Optimal Algorithm for Strongly Convex Min-min Optimization
Alexander Gasnikov
D. Kovalev
Grigory Malinovsky
85
1
0
29 Dec 2022
Can 5th Generation Local Training Methods Support Client Sampling? Yes!
Can 5th Generation Local Training Methods Support Client Sampling? Yes!
Michal Grudzieñ
Grigory Malinovsky
Peter Richtárik
113
29
0
29 Dec 2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for
  Federated Learning
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Jianyi Zhang
Fangjiao Zhang
Qichao Jin
Zhiqiang Wang
Xiaodong Lin
X. Hei
AAMLFedML
92
1
0
28 Dec 2022
A Survey on Federated Recommendation Systems
A Survey on Federated Recommendation Systems
Zehua Sun
Yonghui Xu
Yang Liu
Weiliang He
Lanju Kong
Fangzhao Wu
Yiheng Jiang
Li-zhen Cui
FedML
119
68
0
27 Dec 2022
LOCKS: User Differentially Private and Federated Optimal Client Sampling
LOCKS: User Differentially Private and Federated Optimal Client Sampling
Ajinkya Mulay
FedML
62
0
0
26 Dec 2022
Graph Federated Learning with Hidden Representation Sharing
Graph Federated Learning with Hidden Representation Sharing
Shuang Wu
Mingxuan Zhang
Yuantong Li
Carl Yang
Pan Li
FedML
113
1
0
23 Dec 2022
Federated Learning -- Methods, Applications and beyond
Federated Learning -- Methods, Applications and beyond
Moritz Heusinger
Christoph Raab
Fabrice Rossi
Frank-Michael Schleif
FedMLOOD
55
5
0
22 Dec 2022
When Federated Learning Meets Pre-trained Language Models'
  Parameter-Efficient Tuning Methods
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Zhuo Zhang
Yuanhang Yang
Yong Dai
Zhuang Li
Zenglin Xu
FedML
130
85
0
20 Dec 2022
Enhancing Cyber Resilience of Networked Microgrids using Vertical
  Federated Reinforcement Learning
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
Sayak Mukherjee
Ramij-Raja Hossain
Yuan Liu
W. Du
Veronica Adetola
Sheik M. Mohiuddin
Qiuhua Huang
Tianzhixi Yin
Ankit Singhal
56
5
0
17 Dec 2022
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP
  Tasks
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks
Weilong Dong
Xinwei Wu
Junzhuo Li
Shuangzhi Wu
Chao Bian
Deyi Xiong
FedML
106
6
0
16 Dec 2022
Communication-Efficient Federated Learning for Heterogeneous Edge
  Devices Based on Adaptive Gradient Quantization
Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization
Heting Liu
Fang He
Guohong Cao
FedMLMQ
85
27
0
16 Dec 2022
FLAGS Framework for Comparative Analysis of Federated Learning
  Algorithms
FLAGS Framework for Comparative Analysis of Federated Learning Algorithms
Ahnaf Hannan Lodhi
Barış Akgün
Öznur Özkasap
FedML
48
4
0
14 Dec 2022
Privacy-Preserving Collaborative Learning through Feature Extraction
Privacy-Preserving Collaborative Learning through Feature Extraction
A. Sarmadi
Hao Fu
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
FedML
56
8
0
13 Dec 2022
PaDPaF: Partial Disentanglement with Partially-Federated GANs
PaDPaF: Partial Disentanglement with Partially-Federated GANs
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
61
0
0
07 Dec 2022
Reconstructing Training Data from Model Gradient, Provably
Reconstructing Training Data from Model Gradient, Provably
Zihan Wang
Jason D. Lee
Qi Lei
FedML
116
26
0
07 Dec 2022
Achieving Transparency in Distributed Machine Learning with Explainable
  Data Collaboration
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration
A. Bogdanova
A. Imakura
T. Sakurai
Tomoya Fujii
Teppei Sakamoto
Hiroyuki Abe
FedML
48
2
0
06 Dec 2022
Straggler-Resilient Differentially-Private Decentralized Learning
Straggler-Resilient Differentially-Private Decentralized Learning
Yauhen Yakimenka
Chung-Wei Weng
Hsuan-Yin Lin
E. Rosnes
J. Kliewer
91
7
0
06 Dec 2022
Multi-Layer Personalized Federated Learning for Mitigating Biases in
  Student Predictive Analytics
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
Yun-Wei Chu
Seyyedali Hosseinalipour
Elizabeth Tenorio
Laura Cruz
K. Douglas
Andrew Lan
Christopher G. Brinton
AI4Ed
120
12
0
05 Dec 2022
Federated Neural Topic Models
Federated Neural Topic Models
Lorena Calvo-Bartolomé
Jerónimo Arenas-García
FedML
129
0
0
05 Dec 2022
Differentiated Federated Reinforcement Learning Based Traffic Offloading
  on Space-Air-Ground Integrated Networks
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
Yeguang Qin
Yilin Yang
Fengxiao Tang
Xin Yao
Mingde Zhao
Nei Kato
69
6
0
05 Dec 2022
Olive Branch Learning: A Topology-Aware Federated Learning Framework for
  Space-Air-Ground Integrated Network
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network
Qingze Fang
Zhiwei Zhai
Shuai Yu
Qiong Wu
Xiaowen Gong
Xu Chen
80
22
0
02 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning
PiPar: Pipeline Parallelism for Collaborative Machine Learning
Zihan Zhang
Philip Rodgers
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
88
3
0
01 Dec 2022
On the Design of Communication-Efficient Federated Learning for Health
  Monitoring
On the Design of Communication-Efficient Federated Learning for Health Monitoring
D. Chu
Wael Jaafar
H. Yanikomeroglu
FedML
33
12
0
30 Nov 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient
  Federated Learning
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
Young Geun Kim
Carole-Jean Wu
FedML
97
5
0
30 Nov 2022
AquaFeL-PSO: A Monitoring System for Water Resources using Autonomous
  Surface Vehicles based on Multimodal PSO and Federated Learning
AquaFeL-PSO: A Monitoring System for Water Resources using Autonomous Surface Vehicles based on Multimodal PSO and Federated Learning
Micaela Jara Ten Kathen
Princy A. Johnson
Isabel Jurado Flores
Daniel Gutiérrez-Reina
26
4
0
28 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review
Attribution-based XAI Methods in Computer Vision: A Review
Kumar Abhishek
Deeksha Kamath
74
22
0
27 Nov 2022
FedSysID: A Federated Approach to Sample-Efficient System Identification
FedSysID: A Federated Approach to Sample-Efficient System Identification
Han Wang
Leonardo F. Toso
James Anderson
FedML
57
18
0
25 Nov 2022
Collaborative Training of Medical Artificial Intelligence Models with
  non-uniform Labels
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels
Soroosh Tayebi Arasteh
P. Isfort
Marwin Saehn
Gustav Mueller-Franzes
Firas Khader
Jakob Nikolas Kather
Christiane Kuhl
S. Nebelung
Daniel Truhn
FedML
104
18
0
24 Nov 2022
A Dynamic Weighted Federated Learning for Android Malware Classification
A Dynamic Weighted Federated Learning for Android Malware Classification
Ayushi Chaudhuri
Arijit Nandi
Buddhadeb Pradhan
FedML
26
8
0
23 Nov 2022
Event-Triggered Decentralized Federated Learning over
  Resource-Constrained Edge Devices
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices
Shahryar Zehtabi
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
67
6
0
23 Nov 2022
Online Federated Learning via Non-Stationary Detection and Adaptation
  amidst Concept Drift
Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift
Bhargav Ganguly
Vaneet Aggarwal
FedML
65
9
0
22 Nov 2022
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level
  Unlabeled Scenes
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes
Sunwook Hwang
Youngseok Kim
Seongwon Kim
S. Bahk
Hyung-Sin Kim
3DPC
79
4
0
22 Nov 2022
Personalized Federated Learning with Hidden Information on Personalized
  Prior
Personalized Federated Learning with Hidden Information on Personalized Prior
Mingjia Shi
Yuhao Zhou
Qing Ye
Jiancheng Lv
FedML
94
3
0
19 Nov 2022
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