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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
$γ$-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning
γγγ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning
Rongwei Lu
Yutong Jiang
Jinrui Zhang
Chunyang Li
Yifei Zhu
Bin Chen
Zhi Wang
FedML
22
0
0
18 May 2025
Topology-Aware Knowledge Propagation in Decentralized Learning
Topology-Aware Knowledge Propagation in Decentralized Learning
Mansi Sakarvadia
Nathaniel Hudson
Tian Li
Ian Foster
Kyle Chard
26
0
0
16 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
48
0
0
05 May 2025
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations
Mahshad Lotfinia
Arash Tayebiarasteh
Samaneh Samiei
Mehdi Joodaki
Soroosh Tayebi Arasteh
37
0
0
11 Apr 2025
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving
Yanan Ma
Senkang Hu
Zhengru Fang
Yun Ji
Yiqin Deng
Yuguang Fang
59
0
0
22 Mar 2025
A Thorough Assessment of the Non-IID Data Impact in Federated Learning
A Thorough Assessment of the Non-IID Data Impact in Federated Learning
Daniel Gutiérrez
Mehrdad Hassanzadeh
Aris Anagnostopoulos
I. Chatzigiannakis
A. Vitaletti
49
0
0
21 Mar 2025
Accelerating MoE Model Inference with Expert Sharding
Oana Balmau
Anne-Marie Kermarrec
Rafael Pires
André Loureiro Espírito Santo
M. Vos
Milos Vujasinovic
MoE
76
0
0
11 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning
Yu Zhou
Bingyan Liu
FedML
OOD
TTA
64
0
0
09 Mar 2025
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence
Ziruo Hao
Zhenhua Cui
Tao Yang
Bo Hu
X. Wu
Hui Feng
53
1
0
06 Mar 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Yansen Wang
Wenkai Ji
Jian Zhou
Fu Xiao
Tsung-Hui Chang
48
0
0
24 Feb 2025
Contrastive Federated Learning with Tabular Data Silos
Contrastive Federated Learning with Tabular Data Silos
Achmad Ginanjar
Xue Li
Wen Hua
Jiaming Pei
FedML
84
2
0
17 Feb 2025
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
Yuchen Hu
Xi Chen
Weidong Liu
Xiaojun Mao
67
0
0
31 Jan 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
76
0
0
26 Jan 2025
Resilient Peer-to-peer Learning based on Adaptive Aggregation
Resilient Peer-to-peer Learning based on Adaptive Aggregation
Chandreyee Bhowmick
Xenofon Koutsoukos
34
0
0
08 Jan 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
Adam Wang
Son Nguyen
A. Montillo
FedML
46
0
0
31 Dec 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics,
  Methods, Frameworks and Future Directions
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
120
3
0
19 Nov 2024
Decentralizing Test-time Adaptation under Heterogeneous Data Streams
Decentralizing Test-time Adaptation under Heterogeneous Data Streams
Zixian Su
Jingwei Guo
Xi Yang
Qiufeng Wang
K. Huang
TTA
94
0
0
16 Nov 2024
ROSS:RObust decentralized Stochastic learning based on Shapley values
ROSS:RObust decentralized Stochastic learning based on Shapley values
Lina Wang
Yunsheng Yuan
Feng Li
Lingjie Duan
FedML
55
0
0
01 Nov 2024
On Sampling Strategies for Spectral Model Sharding
On Sampling Strategies for Spectral Model Sharding
Denis Korzhenkov
Christos Louizos
FedML
49
0
0
31 Oct 2024
Geographical Node Clustering and Grouping to Guarantee Data IIDness in
  Federated Learning
Geographical Node Clustering and Grouping to Guarantee Data IIDness in Federated Learning
Minkwon Lee
Hyoil Kim
Changhee Joo
FedML
OOD
27
0
0
21 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large
  Language Models
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
FedML
43
3
0
16 Oct 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation
Boosting Asynchronous Decentralized Learning with Model Fragmentation
Sayan Biswas
Anne-Marie Kermarrec
Alexis Marouani
Rafael Pires
Rishi Sharma
M. Vos
34
1
0
16 Oct 2024
Fair Decentralized Learning
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
46
0
0
03 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive
  Normalization-Free Feature Recalibration
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
32
0
0
02 Oct 2024
Quantized and Asynchronous Federated Learning
Quantized and Asynchronous Federated Learning
Tomàs Ortega
Hamid Jafarkhani
FedML
44
1
0
30 Sep 2024
FedHide: Federated Learning by Hiding in the Neighbors
FedHide: Federated Learning by Hiding in the Neighbors
Hyunsin Park
Sungrack Yun
FedML
34
0
0
12 Sep 2024
Towards Hyper-parameter-free Federated Learning
Towards Hyper-parameter-free Federated Learning
Geetika
Drishya Uniyal
Bapi Chatterjee
FedML
65
0
0
30 Aug 2024
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging
Yichu Xu
Xin-Chun Li
Le Gan
De-Chuan Zhan
MoMe
57
0
0
22 Aug 2024
Addressing Heterogeneity in Federated Learning: Challenges and Solutions
  for a Shared Production Environment
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment
T. Legler
Vinit Hegiste
Ahmed Anwar
Martin Ruskowski
39
0
0
18 Aug 2024
DRL-Based Resource Allocation for Motion Blur Resistant Federated
  Self-Supervised Learning in IoV
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV
Xueying Gu
Qiong Wu
Pingyi Fan
Qiang Fan
Nan Cheng
Wen Chen
Khaled B. Letaief
37
6
0
17 Aug 2024
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models
  in FLaaS
RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaS
Shuaijun Chen
Omid Tavallaie
Niousha Nazemi
Albert Y. Zomaya
54
4
0
16 Aug 2024
Mobility-Aware Federated Self-supervised Learning in Vehicular Network
Mobility-Aware Federated Self-supervised Learning in Vehicular Network
Xueying Gu
Qiong Wu
Pingyi Fan
Qian-Xi Fan
45
9
0
01 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with
  Heterogeneous Models
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
Wentao Gao
Omid Tavallaie
Shuaijun Chen
Albert Zomaya
FedML
55
3
0
30 Jul 2024
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous
  Medical Image Classification Tasks
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
Atefe Hassani
I. Rekik
FedML
48
0
0
29 Jul 2024
Towards Federated Learning with On-device Training and Communication in
  8-bit Floating Point
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point
Bokun Wang
Axel Berg
D. A. E. Acar
Chuteng Zhou
FedML
MQ
53
0
0
02 Jul 2024
Energy-Aware Decentralized Learning with Intermittent Model Training
Energy-Aware Decentralized Learning with Intermittent Model Training
Akash Dhasade
Paolo Dini
Elia Guerra
Anne-Marie Kermarrec
M. Miozzo
Rafael Pires
Rishi Sharma
M. Vos
43
0
0
01 Jul 2024
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient
  Federated Learning
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning
Alexander Herzog
Robbie Southam
Ioannis Mavromatis
Aftab Khan
39
0
0
27 Jun 2024
Personalized federated learning based on feature fusion
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
44
0
0
24 Jun 2024
Regularizing and Aggregating Clients with Class Distribution for
  Personalized Federated Learning
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning
Gyuejeong Lee
Daeyoung Choi
56
0
0
12 Jun 2024
Selective Knowledge Sharing for Personalized Federated Learning Under
  Capacity Heterogeneity
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
Zheng Wang
Zheng Wang
Zhaopeng Peng
Zihui Wang
Cheng-i Wang
FedML
43
0
0
31 May 2024
Locally Estimated Global Perturbations are Better than Local
  Perturbations for Federated Sharpness-aware Minimization
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan
Shengchao Hu
Jiangchao Yao
Gang Niu
Ya Zhang
Masashi Sugiyama
Yanfeng Wang
FedML
49
11
0
29 May 2024
Decentralized Directed Collaboration for Personalized Federated Learning
Decentralized Directed Collaboration for Personalized Federated Learning
Yingqi Liu
Yifan Shi
Qinglun Li
Baoyuan Wu
Xueqian Wang
Li Shen
FedML
72
3
0
28 May 2024
FedCal: Achieving Local and Global Calibration in Federated Learning via
  Aggregated Parameterized Scaler
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Hongyi Peng
Han Yu
Xiaoli Tang
Xiaoxiao Li
57
4
0
24 May 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
Akash Dhasade
Anne-Marie Kermarrec
Tuan-Anh Nguyen
Rafael Pires
M. Vos
FedML
40
0
0
24 May 2024
Overcoming the Challenges of Batch Normalization in Federated Learning
Overcoming the Challenges of Batch Normalization in Federated Learning
R. Guerraoui
Rafael Pinot
Geovani Rizk
John Stephan
François Taiani
FedML
38
3
0
23 May 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
Sakshi Choudhary
Sai Aparna Aketi
Kaushik Roy
FedML
50
0
0
22 May 2024
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
Xin-Chun Li
Jinli Tang
Bo Zhang
Lan Li
De-Chuan Zhan
57
2
0
21 May 2024
Fed-Credit: Robust Federated Learning with Credibility Management
Fed-Credit: Robust Federated Learning with Credibility Management
Jiayan Chen
Zhirong Qian
Tianhui Meng
Xitong Gao
Tian-sheng Wang
Weijia Jia
FedML
AAML
45
0
0
20 May 2024
Secure Aggregation Meets Sparsification in Decentralized Learning
Secure Aggregation Meets Sparsification in Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rafael Pires
Rishi Sharma
Milos Vujasinovic
49
0
0
13 May 2024
Multi-level Personalized Federated Learning on Heterogeneous and
  Long-Tailed Data
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
43
12
0
10 May 2024
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