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2003.08673
Cited By
Survey of Personalization Techniques for Federated Learning
19 March 2020
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
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Papers citing
"Survey of Personalization Techniques for Federated Learning"
50 / 145 papers shown
Federated style aware transformer aggregation of representations
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Euinam Huh
161
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Federated Learning via Meta-Variational Dropout
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Insu Jeon
Minui Hong
Junhyeog Yun
Gunhee Kim
FedML
288
11
0
23 Oct 2025
A non-smooth regularization framework for learning over multitask graphs
Yara Zgheib
Luca Calatroni
Marc Antonini
Roula Nassif
265
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0
22 Sep 2025
SoK: Data Minimization in Machine Learning
Robin Staab
Nikola Jovanović
Kimberly Mai
Prakhar Ganesh
Martin Vechev
Ferdinando Fioretto
Matthew Jagielski
176
1
0
14 Aug 2025
pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork
Thinh Nguyen
Le Huy Khiem
Van Tuan Tran
Khoa D. Doan
Nitesh Chawla
Kok-Seng Wong
FedML
240
0
0
07 Aug 2025
pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
VLM
367
1
0
07 Jul 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation
C. Shiranthika
Zahra Hafezi Kafshgari
Hadi Hadizadeh
Parvaneh Saeedi
FedML
388
1
0
01 Jul 2025
Adaptive Latent-Space Constraints in Personalized Federated Learning
Sana Ayromlou
Fatemeh Tavakoli
D. B. Emerson
FedML
302
0
0
12 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Zhu Han
Choong Seon Hong
AI4CE
454
7
0
11 May 2025
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures
Jiacheng Wang
Hongtao Lv
Lei Liu
FedML
305
3
0
10 May 2025
Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization
Hao Mark Chen
Zehuan Zhang
Wanru Zhao
Nicholas D. Lane
Hongxiang Fan
296
0
0
21 Apr 2025
Operator Learning: A Statistical Perspective
Unique Subedi
Ambuj Tewari
348
0
0
04 Apr 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
Changchang Yin
Hong-You Chen
Wei-Lun Chao
Ping Zhang
CML
238
1
0
06 Mar 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
Hu Ding
Yan Yan
Yang Lu
Jing-Hao Xue
Hanzi Wang
430
2
0
03 Jan 2025
Trustworthy Federated Learning: Privacy, Security, and Beyond
Knowledge and Information Systems (KAIS), 2024
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
340
64
0
03 Nov 2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
Keting Yin
Jiayi Mao
332
3
0
19 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
International Conference on Learning Representations (ICLR), 2024
Jun Luo
Chong Chen
Shandong Wu
FedML
VLM
MoE
615
17
0
14 Oct 2024
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
591
2
0
03 Oct 2024
Personalized Federated Learning Techniques: Empirical Analysis
BigData Congress [Services Society] (BSS), 2024
Azal Ahmad Khan
Ahmad Faraz Khan
Haider Ali
A. Anwar
FedML
319
4
0
10 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm federated learning
IEEE Access (IEEE Access), 2024
Albin Grataloup
Stefan Jonas
Angela Meyer
AI4CE
295
8
0
05 Sep 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
Fengling Lv
Xinyi Shang
Yang Zhou
Yiqun Zhang
Mengke Li
Yang Lu
FedML
330
1
0
04 Aug 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning
Lin Wang
Yang Chen
Yongxin Guo
Xiaoying Tang
FedML
258
3
0
05 Jul 2024
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Viktor Moskvoretskii
N. Tupitsa
Chris Biemann
Samuel Horváth
Eduard A. Gorbunov
Irina Nikishina
FedML
211
1
0
18 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
Laiqiao Qin
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
275
24
0
16 Jun 2024
FedMAP: Personalised Federated Learning for Real Large-Scale Healthcare Systems
Fan Zhang
Daniel Kreuter
Carlos Esteve-Yagüe
Sören Dittmer
Javier Fernandez-Marques
...
James H. F. Rudd
Nicholas D. Lane
Nicholas S. Gleadall
Carola-Bibiane Schönlieb
Michael Roberts
FedML
294
0
0
29 May 2024
SSFL: Discovering Sparse Unified Subnetworks at Initialization for Efficient Federated Learning
Riyasat Ohib
Bishal Thapaliya
Gintare Karolina Dziugaite
Jingyu Liu
Vince D. Calhoun
Sergey Plis
FedML
289
1
0
15 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
348
12
0
13 May 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
Siqi Ping
Yuzhu Mao
Yang Liu
Xiao-Ping Zhang
Wenbo Ding
FedML
307
6
0
23 Apr 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
AAAI Conference on Artificial Intelligence (AAAI), 2024
Ziru Niu
Hai Dong
•. A. K. Qin
407
7
0
18 Mar 2024
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model
Guibo Luo
Hanwen Zhang
Xiuling Wang
Mingzhi Chen
Yuesheng Zhu
DiffM
257
2
0
12 Mar 2024
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks
Yaqian Qi
Yuan Feng
Xiangxiang Wang
Hanzhe Li
Jingxiao Tian
FedML
227
30
0
05 Mar 2024
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
660
5
0
05 Mar 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Mengen Luo
Chi Xu
E. Kuruoglu
FedML
368
1
0
25 Feb 2024
FedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning
Enrique Mármol Campos
Aurora González-Vidal
José Luis Hernández Ramos
A. Gómez-Skarmeta
AAML
216
16
0
15 Feb 2024
Prompt-based Personalized Federated Learning for Medical Visual Question Answering
He Zhu
Ren Togo
Takahiro Ogawa
Miki Haseyama
MedIm
221
13
0
15 Feb 2024
Federated Learning Can Find Friends That Are Advantageous
N. Tupitsa
Samuel Horváth
Martin Takávc
Eduard A. Gorbunov
FedML
526
2
0
07 Feb 2024
Personalized Federated Learning for Statistical Heterogeneity
Muhammad Firdaus
Kyung-Hyune Rhee
FedML
211
3
0
07 Feb 2024
Learn What You Need in Personalized Federated Learning
Kexin Lv
Rui Ye
Xiaolin Huang
Jie Yang
Siheng Chen
FedML
319
2
0
16 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach
Mahrokh Ghoddousi Boroujeni
Andreas Krause
Giancarlo Ferrari-Trecate
FedML
439
11
0
16 Jan 2024
Replica Tree-based Federated Learning using Limited Data
Ramona Ghilea
I. Rekik
225
1
0
28 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
311
107
0
27 Dec 2023
Personalized Federated Learning with Attention-based Client Selection
Zihan Chen
Wenlin Yao
Cong Shen
FedML
198
13
0
23 Dec 2023
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Albin Grataloup
Stefan Jonas
Angela Meyer
326
12
0
18 Dec 2023
Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx
Trung-Hieu Hoang
Jordan D. Fuhrman
Ravi K. Madduri
Miao Li
Pranshu Chaturvedi
...
Kibaek Kim
Minseok Ryu
Ryan Chard
Eliu A. Huerta
Maryellen L. Giger
303
6
0
14 Dec 2023
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning
Lingzhi Gao
Zexi Li
Yang Lu
Chao Wu
331
9
0
30 Nov 2023
Decentralized Personalized Online Federated Learning
Renzhi Wu
Saayan Mitra
Xiang Chen
Anup Rao
FedML
286
3
0
08 Nov 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Wenlong Deng
Christos Thrampoulidis
Xiaoxiao Li
738
24
0
27 Oct 2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Ke Xu
Wen Wang
Xue Jiang
Bo Gao
Jin Lu
404
51
0
15 Aug 2023
The Applicability of Federated Learning to Official Statistics
Joshua Stock
Oliver Hauke
Julius Weissmann
Hannes Federrath
FedML
194
1
0
28 Jul 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Mahdi Morafah
Weijia Wang
Bill Lin
FedML
253
15
0
28 Jul 2023
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