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1910.00189
Cited By
The Non-IID Data Quagmire of Decentralized Machine Learning
1 October 2019
Kevin Hsieh
Amar Phanishayee
O. Mutlu
Phillip B. Gibbons
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Papers citing
"The Non-IID Data Quagmire of Decentralized Machine Learning"
50 / 291 papers shown
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-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
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
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
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
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
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
Yansen Wang
Wenkai Ji
Jian Zhou
Fu Xiao
Tsung-Hui Chang
48
0
0
24 Feb 2025
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
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
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
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
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
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
Lina Wang
Yunsheng Yuan
Feng Li
Lingjie Duan
FedML
55
0
0
01 Nov 2024
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
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
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
Sayan Biswas
Anne-Marie Kermarrec
Alexis Marouani
Rafael Pires
Rishi Sharma
M. Vos
34
1
0
16 Oct 2024
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
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
32
0
0
02 Oct 2024
Quantized and Asynchronous Federated Learning
Tomàs Ortega
Hamid Jafarkhani
FedML
44
1
0
30 Sep 2024
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
Geetika
Drishya Uniyal
Bapi Chatterjee
FedML
65
0
0
30 Aug 2024
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
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
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
Shuaijun Chen
Omid Tavallaie
Niousha Nazemi
Albert Y. Zomaya
54
4
0
16 Aug 2024
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
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
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
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
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
Alexander Herzog
Robbie Southam
Ioannis Mavromatis
Aftab Khan
39
0
0
27 Jun 2024
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
Gyuejeong Lee
Daeyoung Choi
56
0
0
12 Jun 2024
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
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
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
Hongyi Peng
Han Yu
Xiaoli Tang
Xiaoxiao Li
57
4
0
24 May 2024
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
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
Sakshi Choudhary
Sai Aparna Aketi
Kaushik Roy
FedML
50
0
0
22 May 2024
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
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
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
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
43
12
0
10 May 2024
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