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2002.05516
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Federated Learning of a Mixture of Global and Local Models
10 February 2020
Filip Hanzely
Peter Richtárik
FedML
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Papers citing
"Federated Learning of a Mixture of Global and Local Models"
50 / 209 papers shown
Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors
Australasian Conference on Interactive Entertainment (ACIE), 2024
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Mohan Li
Davide Casnici
Matias Laporte
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Silvia Santini
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Communication-Constrained Private Decentralized Online Personalized Mean Estimation
Yauhen Yakimenka
Hsuan-Yin Lin
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J. Kliewer
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164
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02 Nov 2025
Local Performance vs. Out-of-Distribution Generalization: An Empirical Analysis of Personalized Federated Learning in Heterogeneous Data Environments
Mortesa Hussaini
Jan Theiß
Anthony Stein
FedML
OOD
222
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28 Oct 2025
Personalized Collaborative Learning with Affinity-Based Variance Reduction
Chenyu Zhang
Navid Azizan
151
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17 Oct 2025
Personalized federated prototype learning in mixed heterogeneous data scenarios
Jiahao Zeng
Wolong Xing
Liangtao Shi
Xin Huang
Jialin Wang
Zhile Cao
Zhenkui Shi
FedML
172
0
0
04 Oct 2025
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
291
0
0
26 Aug 2025
Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
Heting Liu
Junzhe Huang
Fang He
Guohong Cao
FedML
205
0
0
03 Aug 2025
Black-Box Privacy Attacks on Shared Representations in Multitask Learning
John Abascal
Nicolás Berrios
Alina Oprea
Jonathan R. Ullman
Adam D. Smith
Matthew Jagielski
MLAU
289
0
0
19 Jun 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
502
1
0
05 May 2025
DP2FL: Dual Prompt Personalized Federated Learning in Foundation Models
Scientific Reports (Sci Rep), 2025
Ying Chang
Xiaohu Shi
Xiaohui Zhao
Zhaohuang Chen
Deyin Ma
VLM
224
4
0
23 Apr 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
Haoyu Lei
Shizhan Gong
Qi Dou
Farzan Farnia
FedML
342
2
0
19 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
Computer Vision and Pattern Recognition (CVPR), 2025
Luyuan Xie
Tianyu Luan
Wenyuan Cai
Guochen Yan
Zhaoyu Chen
Nan Xi
Yuejian Fang
Qingni Shen
Zhonghai Wu
Junsong Yuan
FedML
820
6
0
13 Mar 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
Pei-Yau Weng
Minh Hoang
Lam M. Nguyen
My T. Thai
Tsui-Wei Weng
T. Hoang
FedML
469
14
0
27 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
268
0
0
03 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid
Praneeth Vepakomma
Mehdi Bennis
645
9
0
03 Feb 2025
PeFLL: Personalized Federated Learning by Learning to Learn
International Conference on Learning Representations (ICLR), 2023
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
751
34
0
17 Jan 2025
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li
Yuying Wang
Haozhao Wang
Yining Qi
Tianzhe Xiao
Ruixuan Li
624
1
0
18 Dec 2024
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
Yicheng Zhang
Zhen Qin
Zhaomin Wu
Jian Hou
Shuiguang Deng
785
9
0
28 Nov 2024
Differentially-Private Collaborative Online Personalized Mean Estimation
International Symposium on Information Theory (ISIT), 2023
Yauhen Yakimenka
Chung-Wei Weng
Hsuan-Yin Lin
E. Rosnes
J. Kliewer
FedML
298
2
0
11 Nov 2024
Analysis of regularized federated learning
Langming Liu
Dingxuan Zhou
FedML
176
4
0
03 Nov 2024
Efficient and Robust Regularized Federated Recommendation
International Conference on Information and Knowledge Management (CIKM), 2024
Langming Liu
Wanyu Wang
Xiangyu Zhao
Zijian Zhang
Chunxu Zhang
...
Lixin Zou
Zitao Liu
Xuetao Wei
Hongzhi Yin
Qing Li
FedML
349
10
0
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Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
Keting Yin
Jiayi Mao
332
3
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19 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Boning Zhang
Dongzhu Liu
Osvaldo Simeone
Guanchu Wang
Dimitrios Pezaros
Guangxu Zhu
BDL
FedML
252
1
0
18 Oct 2024
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Xin Yu
Zelin He
Ying Sun
Lingzhou Xue
Runze Li
FedML
626
0
0
11 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
Emanuel Buttaci
Giuseppe Carlo Calafiore
FedML
293
0
0
07 Oct 2024
Federated
X
\mathcal{X}
X
-armed Bandit with Flexible Personalisation
Ali Arabzadeh
James A. Grant
David S. Leslie
FedML
234
0
0
11 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jiahao Lai
Jiaqiang Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
433
2
0
09 Sep 2024
Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data
Xiangrui Li
AI4TS
110
0
0
15 Aug 2024
Heterogeneity: An Open Challenge for Federated On-board Machine Learning
Maria Hartmann
Grégoire Danoy
Pascal Bouvry
FedML
338
0
0
13 Aug 2024
Fast convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao
Rajita Chandak
Sanjeev R. Kulkarni
FedML
346
0
0
11 Aug 2024
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering
Yifan Yang
Ali Payani
Parinaz Naghizadeh Ardabili
FedML
465
0
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27 Jul 2024
HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging
Tajamul Ashraf
Tisha Madame
262
0
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The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Guogang Zhu
Shaojie Tang
Xiaotian Li
Jiannong Cao
FedML
298
3
0
22 Jul 2024
Novel clustered federated learning based on local loss
Endong Gu
Yongxin Chen
Hao Wen
Xingju Cai
Deren Han
FedML
240
3
0
12 Jul 2024
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedML
AI4CE
378
10
0
12 Jul 2024
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering
Md Sirajul Islam
Simin Javaherian
Fei Xu
Xu Yuan
Li Chen
Nian-Feng Tzeng
FedML
261
16
0
09 Jul 2024
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
251
2
0
24 Jun 2024
Decentralized Personalized Federated Learning
Salma Kharrat
Marco Canini
Samuel Horváth
FedML
339
3
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10 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources
Yilin Zheng
A. Eryilmaz
FedML
263
0
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31 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
387
2
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25 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
431
2
0
16 May 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Luyuan Xie
Manqing Lin
Tianyu Luan
Cong Li
Yuejian Fang
Qingni Shen
Zhonghai Wu
270
16
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MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes
Xin-Chun Li
Shaoming Song
Yinchuan Li
Bingshuai Li
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Yang Yang
De-Chuan Zhan
FedML
252
16
0
14 Apr 2024
Towards Efficient Replay in Federated Incremental Learning
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Yichen Li
Qunwei Li
Yining Qi
Ruixuan Li
Leon Wenliang Zhong
Guannan Zhang
402
46
0
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FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
169
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Federated Learning over Connected Modes
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Philipp Wiesner
Shinichi Nakajima
FedML
660
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A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
357
59
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Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
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Wei Huang
Jingya Wang
Ye-ling Shi
FedML
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426
51
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ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
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Bruce Huang
Ruida Zhou
Suhas Diggavi
659
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Spectral Co-Distillation for Personalized Federated Learning
Zihan Chen
Howard H. Yang
Tony Q.S. Quek
Kai Fong Ernest Chong
OOD
FedML
283
23
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29 Jan 2024
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