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Federated Learning on Non-IID Data Silos: An Experimental Study
v1v2v3v4 (latest)

Federated Learning on Non-IID Data Silos: An Experimental Study

IEEE International Conference on Data Engineering (ICDE), 2021
3 February 2021
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
    FedMLOOD
ArXiv (abs)PDFHTML

Papers citing "Federated Learning on Non-IID Data Silos: An Experimental Study"

50 / 488 papers shown
FedSGT: Exact Federated Unlearning via Sequential Group-based Training
FedSGT: Exact Federated Unlearning via Sequential Group-based Training
Bokang Zhang
Hong Guan
Hong kyu Lee
Ruixuan Liu
Jia Zou
Li Xiong
MUFedML
338
1
0
28 Nov 2025
FedAPA: Federated Learning with Adaptive Prototype Aggregation Toward Heterogeneous Wi-Fi CSI-based Crowd Counting
FedAPA: Federated Learning with Adaptive Prototype Aggregation Toward Heterogeneous Wi-Fi CSI-based Crowd Counting
Jingtao Guo
Yuyi Mao
I. W. Ho
269
0
0
26 Nov 2025
ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
Junchao Zhou
Junkang Liu
Fanhua Shang
229
0
0
20 Nov 2025
Dynamic Participation in Federated Learning: Benchmarks and a Knowledge Pool Plugin
Dynamic Participation in Federated Learning: Benchmarks and a Knowledge Pool Plugin
Ming-Lun Lee
Fu-Shiang Yang
Cheng-Kuan Lin
Yan-Ann Chen
Chih-Yu Lin
Yu-Chee Tseng
192
0
0
20 Nov 2025
Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario
Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario
Bingjun Wei
Xuemei Cao
Jiafen Liu
Haoyang Liang
Xin Yang
FedML
228
0
0
19 Nov 2025
FairEnergy: Contribution-Based Fairness meets Energy Efficiency in Federated Learning
FairEnergy: Contribution-Based Fairness meets Energy Efficiency in Federated Learning
Ouiame Marnissi
Hajar EL Hammouti
El Houcine Bergou
185
0
0
19 Nov 2025
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
Abolfazl Younesi
Leon Kiss
Zahra Najafabadi Samani
Juan Aznar Poveda
Thomas Fahringer
AAML
301
0
0
18 Nov 2025
When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping
When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping
Youngjoon Lee
Hyukjoon Lee
J. Gong
Yang Cao
Joonhyuk Kang
170
1
0
14 Nov 2025
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data
Mingkun Yang
Ran Zhu
Qing Wang
Jie Yang
FedML
437
0
0
13 Nov 2025
Federated Learning for Pediatric Pneumonia Detection: Enabling Collaborative Diagnosis Without Sharing Patient Data
Federated Learning for Pediatric Pneumonia Detection: Enabling Collaborative Diagnosis Without Sharing Patient Data
Daniel M. Jimenez-Gutierrez
Enrique Zuazua
Joaquin Del Rio
Oleksii Sliusarenko
Xabi Uribe-Etxebarria
169
0
0
12 Nov 2025
CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment
CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment
Seunghun Yu
Youngjoon Lee
J. Gong
Joonhyuk Kang
205
0
0
03 Nov 2025
UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
Furkan Pala
I. Rekik
FedML
396
0
0
30 Oct 2025
Local Performance vs. Out-of-Distribution Generalization: An Empirical Analysis of Personalized Federated Learning in Heterogeneous Data Environments
Local Performance vs. Out-of-Distribution Generalization: An Empirical Analysis of Personalized Federated Learning in Heterogeneous Data Environments
Mortesa Hussaini
Jan Theiß
Anthony Stein
FedMLOOD
225
0
0
28 Oct 2025
Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
Sentinel: Dynamic Knowledge Distillation for Personalized Federated Intrusion Detection in Heterogeneous IoT Networks
Gurpreet Singh
Keshav Sood
P. Rajalakshmi
Yong Xiang
192
1
0
27 Oct 2025
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
Zhiqin Yang
Yonggang Zhang
Chenxin Li
Yiu-ming Cheung
Bo Han
Yixuan Yuan
FedML
226
3
0
23 Oct 2025
Hierarchical Federated Unlearning for Large Language Models
Hierarchical Federated Unlearning for Large Language Models
Yisheng Zhong
Zhengbang Yang
Zhuangdi Zhu
MU
273
1
0
19 Oct 2025
FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
Shouxu Lin
Zimeng Pan
Yuhang Yao
Haeyoung Noh
Pei Zhang
Carlee Joe-Wong
118
0
0
12 Oct 2025
Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems
Aegis: A Correlation-Based Data Masking Advisor for Data Sharing Ecosystems
Omar Islam Laskar
Fatemeh Ramezani Khozestani
Ishika Nankani
Sohrab Namazi Nia
Senjuti Basu Roy
Kaustubh Beedkar
159
0
0
12 Oct 2025
Cooperative Pseudo Labeling for Unsupervised Federated Classification
Cooperative Pseudo Labeling for Unsupervised Federated Classification
Kuangpu Guo
Lijun Sheng
Yongcan Yu
Jian Liang
Zilei Wang
Ran He
FedMLVLM
224
0
0
11 Oct 2025
PQFed: A Privacy-Preserving Quality-Controlled Federated Learning Framework
PQFed: A Privacy-Preserving Quality-Controlled Federated Learning Framework
Weiqi Yue
Wenbiao Li
Yuzhou Jiang
Anisa Halimi
Roger French
Erman Ayday
FedML
188
0
0
25 Sep 2025
Distribution-Controlled Client Selection to Improve Federated Learning Strategies
Distribution-Controlled Client Selection to Improve Federated Learning Strategies
Christoph Düsing
Philipp Cimiano
FedML
195
1
0
25 Sep 2025
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A SurveyInternational Conference on Modern Circuits and Systems Technologies (ICMCST), 2025
Devashish Chaudhary
Sutharshan Rajasegarar
Mengyue Deng
FedMLAI4CE
719
4
0
24 Sep 2025
Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings
Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings
Roberto Doriguzzi-Corin
Petr Sabel
Silvio Cretti
Silvio Ranise
219
0
0
22 Sep 2025
pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
Tong Wang
Xingyue Zhao
Linghao Zhuang
Haoyu Zhao
Jiayi Yin
Yuyang He
Gang Yu
Bo Lin
FedMLMedIm
137
0
0
19 Sep 2025
High-Energy Concentration for Federated Learning in Frequency Domain
High-Energy Concentration for Federated Learning in Frequency Domain
Haozhi Shi
Weiying Xie
Hangyu Ye
Daixun Li
Jitao Ma
Yunsong Li
Leyuan Fang
FedML
276
0
0
16 Sep 2025
FedBiF: Communication-Efficient Federated Learning via Bits Freezing
FedBiF: Communication-Efficient Federated Learning via Bits FreezingIEEE Transactions on Parallel and Distributed Systems (TPDS), 2025
Shiwei Li
Qunwei Li
Haozhao Wang
Ruixuan Li
Jianbin Lin
Wenliang Zhong
FedMLMQ
250
1
0
12 Sep 2025
PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints
PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device ConstraintsDesign Automation Conference (DAC), 2025
Yuanchun Guo
Bingyan Liu
Yulong Sha
Zhensheng Xian
244
0
0
04 Sep 2025
Fairness in Federated Learning: Trends, Challenges, and Opportunities
Fairness in Federated Learning: Trends, Challenges, and OpportunitiesAdvanced Intelligent Systems (Adv. Intell. Syst.), 2025
Noorain Mukhtiar
A. Mahmood
Quan Z. Sheng
FedML
208
4
0
31 Aug 2025
Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes
Dual-Distilled Heterogeneous Federated Learning with Adaptive Margins for Trainable Global Prototypes
Md Anwar Hossen
Fatema Siddika
Wensheng Zhang
Anuj Sharma
Ali Jannesari
Ali Jannesari
310
0
0
26 Aug 2025
Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models
Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models
Wenxuan Ye
Xueli An
Onur Ayan
Junfan Wang
Xueqiang Yan
Georg Carle
FedML
166
0
0
19 Aug 2025
Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
Yuhao Zhou
Jindi Lv
Yuxin Tian
Dan Si
Qing Ye
Jiancheng Lv
FedML
213
0
0
18 Aug 2025
Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
Bokeng Zheng
Jianqiang Zhong
Jiayi Liu
Xiaoxi Zhang
Xu Chen
Xiaoxi Zhang
187
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0
13 Aug 2025
EFU: Enforcing Federated Unlearning via Functional Encryption
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Samaneh Mohammadi
Vasileios Tsouvalas
Iraklis Symeonidis
Ali Balador
T. Ozcelebi
Francesco Flammini
N. Meratnia
MU
271
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FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
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Haocheng Jiang
Hua Shen
Jixin Zhang
Willy Susilo
Mingwu Zhang
FedMLAAML
207
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01 Aug 2025
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
Yuze Liu
Tiehua Zhang
Zhishu Shen
Libing Wu
Shiping Chen
Jiong Jin
111
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0
01 Aug 2025
A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks
A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks
Zhuocheng Liu
Zhishu Shen
Qiushi Zheng
Tiehua Zhang
Zheng Lei
Jiong Jin
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125
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0
30 Jul 2025
Hypernetworks for Model-Heterogeneous Personalized Federated Learning
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Chen Zhang
Husheng Li
Xiang Liu
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236
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30 Jul 2025
Debunking Optimization Myths in Federated Learning for Medical Image Classification
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Youngjoon Lee
Hyukjoon Lee
J. Gong
Yang Cao
Joonhyuk Kang
FedML
189
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26 Jul 2025
Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity
Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity
Huiling Yang
Zhanwei Wang
Kaibin Huang
308
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21 Jul 2025
Optimal Transceiver Design in Over-the-Air Federated Distillation
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Zihao Hu
Jia Yan
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Khaled B. Letaief
FedML
188
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VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking
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Juntao Tan
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277
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FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks
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Zhenyuan Zhang
Jie M. Zhang
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533
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FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation
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Luca Corbucci
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297
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Federated Learning for MRI-based BrainAGE: a multicenter study on post-stroke functional outcome prediction
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HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
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The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
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