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The Non-IID Data Quagmire of Decentralized Machine Learning

The Non-IID Data Quagmire of Decentralized Machine Learning

1 October 2019
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
ArXivPDFHTML

Papers citing "The Non-IID Data Quagmire of Decentralized Machine Learning"

50 / 291 papers shown
Title
Accelerated Federated Learning with Decoupled Adaptive Optimization
Accelerated Federated Learning with Decoupled Adaptive Optimization
Jiayin Jin
Jiaxiang Ren
Yang Zhou
Lingjuan Lyu
Ji Liu
Dejing Dou
AI4CE
FedML
32
52
0
14 Jul 2022
Multi-Level Branched Regularization for Federated Learning
Multi-Level Branched Regularization for Federated Learning
Jinkyu Kim
Geeho Kim
Bohyung Han
FedML
29
53
0
14 Jul 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent
  Kernels
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
Yaodong Yu
Alexander Wei
Sai Praneeth Karimireddy
Yi-An Ma
Michael I. Jordan
FedML
29
30
0
13 Jul 2022
StatMix: Data augmentation method that relies on image statistics in
  federated learning
StatMix: Data augmentation method that relies on image statistics in federated learning
Dominik Lewy
Jacek Mańdziuk
M. Ganzha
M. Paprzycki
FedML
50
9
0
08 Jul 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized
  SGD with Sample-induced Topology
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
Yan Huang
Ying Sun
Zehan Zhu
Changzhi Yan
Jinming Xu
FedML
40
15
0
08 Jul 2022
Towards the Practical Utility of Federated Learning in the Medical
  Domain
Towards the Practical Utility of Federated Learning in the Medical Domain
Seongjun Yang
Hyeonji Hwang
Daeyoung Kim
Radhika Dua
Jong-Yeup Kim
Eunho Yang
Edward Choi
FedML
OOD
34
16
0
07 Jul 2022
An Empirical Study of Personalized Federated Learning
An Empirical Study of Personalized Federated Learning
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
OOD
FedML
32
6
0
27 Jun 2022
FedorAS: Federated Architecture Search under system heterogeneity
FedorAS: Federated Architecture Search under system heterogeneity
Łukasz Dudziak
Stefanos Laskaridis
Javier Fernandez-Marques
FedML
46
7
0
22 Jun 2022
Mitigating Data Heterogeneity in Federated Learning with Data
  Augmentation
Mitigating Data Heterogeneity in Federated Learning with Data Augmentation
George Giapitzakis
Guojun Zhang
Xi Chen
Yaoliang Yu
FedML
24
30
0
20 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training
Pisces: Efficient Federated Learning via Guided Asynchronous Training
Zhifeng Jiang
Wei Wang
Baochun Li
Yue Liu
FedML
32
24
0
18 Jun 2022
Federated learning with incremental clustering for heterogeneous data
Federated learning with incremental clustering for heterogeneous data
F. E. Castellon
Aurélien Mayoue
Jacques-Henri Sublemontier
Cédric Gouy-Pailler
FedML
29
8
0
17 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated
  Learning
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
D. Baron
H. Dai
FedML
55
46
0
08 Jun 2022
FedNST: Federated Noisy Student Training for Automatic Speech
  Recognition
FedNST: Federated Noisy Student Training for Automatic Speech Recognition
Haaris Mehmood
A. Dobrowolska
Karthikeyan P. Saravanan
Mete Ozay
26
7
0
06 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning
  via Decentralized Sparse Training
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
Rong Dai
Li Shen
Fengxiang He
Xinmei Tian
Dacheng Tao
FedML
35
112
0
01 Jun 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
Chen Chen
Yuchen Liu
Xingjun Ma
Lingjuan Lyu
FedML
167
32
0
30 May 2022
Federated Semi-Supervised Learning with Prototypical Networks
Federated Semi-Supervised Learning with Prototypical Networks
Woojun Kim
Keondo Park
Kihyuk Sohn
Raphael Shu
Hyung-Sin Kim
FedML
40
11
0
27 May 2022
A Fair Federated Learning Framework With Reinforcement Learning
A Fair Federated Learning Framework With Reinforcement Learning
Yaqi Sun
Shijing Si
Jianzong Wang
Yuhan Dong
Z. Zhu
Jing Xiao
FedML
53
7
0
26 May 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent
  Clustering
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
Ekdeep Singh Lubana
Chi Ian Tang
F. Kawsar
Robert P. Dick
Akhil Mathur
FedML
40
52
0
23 May 2022
Semi-Decentralized Federated Learning with Collaborative Relaying
Semi-Decentralized Federated Learning with Collaborative Relaying
M. Yemini
R. Saha
Emre Ozfatura
Deniz Gündüz
Andrea J. Goldsmith
FedML
51
32
0
23 May 2022
Test-Time Robust Personalization for Federated Learning
Test-Time Robust Personalization for Federated Learning
Liang Jiang
Tao R. Lin
FedML
OOD
TTA
85
44
0
22 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data
  Heterogeneity in Medical Imaging
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
Yuyin Zhou
FedML
82
90
0
17 May 2022
Federated Learning Under Intermittent Client Availability and
  Time-Varying Communication Constraints
Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints
Mónica Ribero
H. Vikalo
G. Veciana
FedML
29
44
0
13 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma
Jie Zhang
Song Guo
Wenchao Xu
FedML
38
171
0
09 May 2022
Online Model Compression for Federated Learning with Large Models
Online Model Compression for Federated Learning with Large Models
Tien-Ju Yang
Yonghui Xiao
Giovanni Motta
F. Beaufays
Rajiv Mathews
Mingqing Chen
FedML
MQ
51
8
0
06 May 2022
FedShuffle: Recipes for Better Use of Local Work in Federated Learning
FedShuffle: Recipes for Better Use of Local Work in Federated Learning
Samuel Horváth
Maziar Sanjabi
Lin Xiao
Peter Richtárik
Michael G. Rabbat
FedML
38
21
0
27 Apr 2022
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets
Federico Lucchetti
Jérémie Decouchant
Maria Fernandes
L. Chen
Marcus Volp
FedML
24
0
0
23 Apr 2022
A Closer Look at Personalization in Federated Image Classification
A Closer Look at Personalization in Federated Image Classification
Changxing Jing
Yan Huang
Yihong Zhuang
Liyan Sun
Yue Huang
Zhenlong Xiao
Xinghao Ding
52
1
0
22 Apr 2022
IOP-FL: Inside-Outside Personalization for Federated Medical Image
  Segmentation
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation
Meirui Jiang
Hongzheng Yang
Chen Cheng
Qianming Dou
65
32
0
16 Apr 2022
Data-heterogeneity-aware Mixing for Decentralized Learning
Data-heterogeneity-aware Mixing for Decentralized Learning
Yatin Dandi
Anastasia Koloskova
Martin Jaggi
Sebastian U. Stich
43
18
0
13 Apr 2022
Refined Convergence and Topology Learning for Decentralized SGD with
  Heterogeneous Data
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
B. L. Bars
A. Bellet
Marc Tommasi
Erick Lavoie
Anne-Marie Kermarrec
FedML
39
25
0
09 Apr 2022
Federated Learning with Partial Model Personalization
Federated Learning with Partial Model Personalization
Krishna Pillutla
Kshitiz Malik
Abdel-rahman Mohamed
Michael G. Rabbat
Maziar Sanjabi
Lin Xiao
FedML
52
157
0
08 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for
  Performance Improvement
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement
Hao Zhang
Tingting Wu
Siyao Cheng
Jie Liu
FedML
45
11
0
07 Apr 2022
Federated Learning with Position-Aware Neurons
Federated Learning with Position-Aware Neurons
Xin-Chun Li
Yi-Chu Xu
Shaoming Song
Bingshuai Li
Yinchuan Li
Yunfeng Shao
De-Chuan Zhan
FedML
43
33
0
28 Mar 2022
Sparse Federated Learning with Hierarchical Personalized Models
Sparse Federated Learning with Hierarchical Personalized Models
Xiaofeng Liu
Qing Wang
Yunfeng Shao
Yinchuan Li
FedML
60
11
0
25 Mar 2022
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD
  with Momentum
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
Kirby Banman
Liam Peet-Paré
N. Hegde
Alona Fyshe
Martha White
34
0
0
22 Mar 2022
Improving Generalization in Federated Learning by Seeking Flat Minima
Improving Generalization in Federated Learning by Seeking Flat Minima
Debora Caldarola
Barbara Caputo
Marco Ciccone
FedML
47
110
0
22 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image
  Segmentation
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
An Xu
Wenqi Li
Pengfei Guo
Dong Yang
H. Roth
Ali Hatamizadeh
Can Zhao
Daguang Xu
Heng-Chiao Huang
Ziyue Xu
FedML
40
52
0
18 Mar 2022
Efficient Image Representation Learning with Federated Sampled Softmax
Efficient Image Representation Learning with Federated Sampled Softmax
Sagar M. Waghmare
Qi
Huizhong Chen
Mikhail Sirotenko
Tomer Meron
FedML
19
2
0
09 Mar 2022
Robust Federated Learning with Connectivity Failures: A
  Semi-Decentralized Framework with Collaborative Relaying
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
M. Yemini
R. Saha
Emre Ozfatura
Deniz Gündüz
Andrea J. Goldsmith
FedML
65
8
0
24 Feb 2022
FLAME: Federated Learning Across Multi-device Environments
FLAME: Federated Learning Across Multi-device Environments
Hyunsung Cho
Akhil Mathur
F. Kawsar
21
21
0
17 Feb 2022
Asynchronous Parallel Incremental Block-Coordinate Descent for
  Decentralized Machine Learning
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning
Hao Chen
Yu Ye
Ming Xiao
Mikael Skoglund
49
3
0
07 Feb 2022
Proportional Fairness in Federated Learning
Proportional Fairness in Federated Learning
Guojun Zhang
Saber Malekmohammadi
Xi Chen
Yaoliang Yu
FedML
35
24
0
03 Feb 2022
FedSpace: An Efficient Federated Learning Framework at Satellites and
  Ground Stations
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So
Kevin Hsieh
Behnaz Arzani
Shadi Noghabi
Salman Avestimehr
Ranveer Chandra
FedML
28
60
0
02 Feb 2022
Faster Convergence of Local SGD for Over-Parameterized Models
Faster Convergence of Local SGD for Over-Parameterized Models
Tiancheng Qin
S. Rasoul Etesami
César A. Uribe
FedML
49
6
0
30 Jan 2022
Achieving Personalized Federated Learning with Sparse Local Models
Achieving Personalized Federated Learning with Sparse Local Models
Tiansheng Huang
Shiwei Liu
Li Shen
Fengxiang He
Weiwei Lin
Dacheng Tao
FedML
43
43
0
27 Jan 2022
Stochastic Coded Federated Learning with Convergence and Privacy
  Guarantees
Stochastic Coded Federated Learning with Convergence and Privacy Guarantees
Yuchang Sun
Jiawei Shao
Songze Li
Yuyi Mao
Jun Zhang
FedML
45
17
0
25 Jan 2022
Communication-Efficient Federated Learning with Accelerated Client
  Gradient
Communication-Efficient Federated Learning with Accelerated Client Gradient
Geeho Kim
Jinkyu Kim
Bohyung Han
FedML
45
11
0
10 Jan 2022
Optimizing the Communication-Accuracy Trade-off in Federated Learning
  with Rate-Distortion Theory
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory
Nicole Mitchell
Johannes Ballé
Zachary B. Charles
Jakub Konecný
FedML
27
21
0
07 Jan 2022
FedLGA: Towards System-Heterogeneity of Federated Learning via Local
  Gradient Approximation
FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
Xingyu Li
Zhe Qu
Bo Tang
Zhuo Lu
FedML
38
26
0
22 Dec 2021
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on
  Heterogeneous Medical Images
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
Meirui Jiang
Zirui Wang
Qi Dou
FedML
54
124
0
20 Dec 2021
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