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Federated Learning: Strategies for Improving Communication Efficiency

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
ArXivPDFHTML

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

50 / 1,854 papers shown
Title
Decentralized Gradient Tracking with Local Steps
Decentralized Gradient Tracking with Local Steps
Yue Liu
Tao R. Lin
Anastasia Koloskova
Sebastian U. Stich
51
38
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
36
32
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
40
234
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
33
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
37
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
51
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
AAML
FedML
43
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
46
60
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
31
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
50
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
FedML
OOD
23
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
74
70
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
36
4
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
51
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
FedML
MQ
42
24
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
14
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
32
6
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
28
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
39
24
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
29
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
53
6
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
62
10
0
05 Dec 2022
Federated Neural Topic Models
Federated Neural Topic Models
Lorena Calvo-Bartolomé
Jerónimo Arenas-García
FedML
30
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
37
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
41
20
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
52
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
22
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
42
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
12
2
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
40
18
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
34
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
58
15
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
19
7
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
34
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
29
8
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
41
3
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
37
3
0
19 Nov 2022
Personalized Federated Learning for Multi-task Fault Diagnosis of
  Rotating Machinery
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
Sheng Guo
Zengxian Li
Hui Liu
Shubao Zhao
C. Jin
FedML
AI4CE
24
6
0
17 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
45
229
0
15 Nov 2022
Federated Learning for Autoencoder-based Condition Monitoring in the
  Industrial Internet of Things
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Soeren Becker
K. Styp-Rekowski
O. Stoll
O. Kao
AI4CE
24
9
0
14 Nov 2022
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword
  Spotting
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting
Beltrán Labrador
Guanlong Zhao
Ignacio López Moreno
Angelo Scorza Scarpati
Liam H. Fowl
Quan Wang
27
2
0
11 Nov 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning
  Attack via Aggregation Optimization
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization
Yueqi Xie
Weizhong Zhang
Renjie Pi
Fangzhao Wu
Qifeng Chen
Xing Xie
Sunghun Kim
FedML
36
7
0
10 Nov 2022
Robust Smart Home Face Recognition under Starving Federated Data
Robust Smart Home Face Recognition under Starving Federated Data
Jaechul Roh
Yajun Fang
FedML
CVBM
AAML
38
0
0
10 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide
Knowledge Distillation for Federated Learning: a Practical Guide
Alessio Mora
Irene Tenison
Paolo Bellavista
Irina Rish
FedML
30
17
0
09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Clustered Federated Learning based on Nonconvex Pairwise Fusion
Xue Yu
Ziyi Liu
Wu Wang
Yifan Sun
FedML
59
7
0
08 Nov 2022
Federated Learning Using Three-Operator ADMM
Federated Learning Using Three-Operator ADMM
Shashi Kant
J. M. B. D. Silva
Gábor Fodor
B. Goransson
M. Bengtsson
Carlo Fischione
FedML
24
5
0
08 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark
Privacy Meets Explainability: A Comprehensive Impact Benchmark
S. Saifullah
Dominique Mercier
Adriano Lucieri
Andreas Dengel
Sheraz Ahmed
35
15
0
08 Nov 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning
  Attacks
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
Naoya Tezuka
H. Ochiai
Yuwei Sun
Hiroshi Esaki
AAML
42
4
0
07 Nov 2022
Over-The-Air Clustered Wireless Federated Learning
Over-The-Air Clustered Wireless Federated Learning
Ayush Madhan-Sohini
Divin Dominic
Nazreen Shah
Ranjitha Prasad
36
2
0
07 Nov 2022
Distributed Linear Bandits under Communication Constraints
Distributed Linear Bandits under Communication Constraints
Sudeep Salgia
Qing Zhao
48
7
0
04 Nov 2022
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