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Adaptive Personalized Federated Learning

Adaptive Personalized Federated Learning

30 March 2020
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
    FedML
ArXivPDFHTML

Papers citing "Adaptive Personalized Federated Learning"

50 / 308 papers shown
Title
Personalized Federated Learning under Model Dissimilarity Constraints
Personalized Federated Learning under Model Dissimilarity Constraints
Samuel Erickson
Mikael Johansson
FedML
35
0
0
12 May 2025
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
Samaneh Mohammadi
Iraklis Symeonidis
Ali Balador
Francesco Flammini
FedML
26
0
0
11 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
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
Dusit Niyato
C. Hong
AI4CE
31
0
0
11 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
35
0
0
05 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Md. Tanzib Hosain
Asif Zaman
Md. Shahriar Sajid
Shadman Sakeeb Khan
Shanjida Akter
45
0
0
03 May 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
Yuting He
Yiqiang Chen
Xiaodong Yang
H. Yu
Yi-Hua Huang
Yang Gu
FedML
55
20
0
20 Apr 2025
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
Penghao Wang
Qian Chen
Teng Zhang
Y. Zhang
Wang Lu
Yiqiang Chen
23
0
0
15 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
Hengrui Hu
Anai N. Kothari
Anjishnu Banerjee
FedML
38
0
0
06 Apr 2025
Operator Learning: A Statistical Perspective
Operator Learning: A Statistical Perspective
Unique Subedi
Ambuj Tewari
31
0
0
04 Apr 2025
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning
Yuyang Qiu
Kibaek Kim
Farzad Yousefian
FedML
56
0
0
02 Apr 2025
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
Kanishka Ranaweera
Azadeh Ghari Neiat
Xiao Liu
Bipasha Kashyap
P. Pathirana
FedML
52
0
0
29 Mar 2025
Byzantine Resilient Federated Multi-Task Representation Learning
Byzantine Resilient Federated Multi-Task Representation Learning
Tuan Le
Shana Moothedath
50
0
0
24 Mar 2025
Distributionally Robust Federated Learning: An ADMM Algorithm
Distributionally Robust Federated Learning: An ADMM Algorithm
Wen Bai
Yi Wong
Xiao Qiao
Chin Pang Ho
FedML
OOD
66
0
0
24 Mar 2025
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-the-World LoRA
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-the-World LoRA
Jieming Bian
Lei Wang
Letian Zhang
Jie Xu
52
1
0
14 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
Luyuan Xie
Tianyu Luan
Wenyuan Cai
Guochen Yan
Z. Chen
Nan Xi
Yuejian Fang
Qingni Shen
Zhonghai Wu
Junsong Yuan
FedML
62
0
0
13 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs
Ziran Zhou
Guanyu Gao
Xiaohu Wu
Yan Lyu
FedML
48
0
0
07 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learning
Shahrzad Kiani
Franziska Boenisch
S. Draper
FedML
72
0
0
06 Mar 2025
Asynchronous Personalized Federated Learning through Global Memorization
Fan Wan
Y. Li
Xueqi Qiu
Rui Sun
L. Zhang
Xingyu Miao
Tianyu Zhang
Haoran Duan
Yang Long
34
0
0
01 Mar 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
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
71
2
0
27 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid
Praneeth Vepakomma
Mehdi Bennis
78
0
0
03 Feb 2025
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning
Sijia Chen
Ningxin Su
Baochun Li
FedML
37
0
0
31 Dec 2024
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph
  Attention Networks
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks
Siddharth Ambekar
Yuhang Yao
Ryan Li
Carlee Joe-Wong
FedML
77
0
0
20 Dec 2024
FedPAW: Federated Learning with Personalized Aggregation Weights for
  Urban Vehicle Speed Prediction
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction
Yuepeng He
Pengzhan Zhou
Yijun Zhai
Fang Qu
Zhida Qin
Mingyan Li
Songtao Guo
70
0
0
02 Dec 2024
Personalized Federated Learning via Feature Distribution Adaptation
Personalized Federated Learning via Feature Distribution Adaptation
Connor Mclaughlin
Lili Su
FedML
OOD
45
1
0
01 Nov 2024
Personalized Federated Learning with Mixture of Models for Adaptive
  Prediction and Model Fine-Tuning
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
P. M. Ghari
Yanning Shen
FedML
23
1
0
28 Oct 2024
Personalized Federated Learning with Adaptive Feature Aggregation and
  Knowledge Transfer
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
Keting Yin
Jiayi Mao
29
0
0
19 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
Boning Zhang
Dongzhu Liu
Osvaldo Simeone
Guanchu Wang
Dimitrios Pezaros
Guangxu Zhu
BDL
FedML
33
0
0
18 Oct 2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and
  Model-Heterogeneous Federated Learning
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
Brianna Mueller
W. Street
Stephen Seung-Yeob Baek
Qihang Lin
Jingyi Yang
Yankun Huang
29
0
0
17 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via
  Statistics Tuning
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
Evelyn Ma
Chao Pan
Rasoul Etesami
Han Zhao
Olgica Milenković
FedML
AAML
31
0
0
16 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Jun Luo
C. L. P. Chen
Shandong Wu
FedML
VLM
MoE
52
3
0
14 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on
  Statistical Accuracy and Communication Efficiency
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency
Xin Yu
Zelin He
Ying Sun
Lingzhou Xue
Runze Li
FedML
26
0
0
11 Oct 2024
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based
  Federated Fine-Tuning
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
Jingyuan Zhang
Yiyang Duan
Shuaicheng Niu
Yang Cao
Wei Yang Bryan Lim
20
1
0
10 Oct 2024
Boosting the Performance of Decentralized Federated Learning via
  Catalyst Acceleration
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration
Qinglun Li
Miao Zhang
Yingqi Liu
Quanjun Yin
Li Shen
Xiaochun Cao
FedML
37
0
0
09 Oct 2024
Communication-Efficient Federated Group Distributionally Robust
  Optimization
Communication-Efficient Federated Group Distributionally Robust Optimization
Zhishuai Guo
Tianbao Yang
FedML
28
0
0
08 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation
  and Mutual Similarity Information
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
Emanuel Buttaci
Giuseppe Carlo Calafiore
FedML
21
0
0
07 Oct 2024
FedSlate:A Federated Deep Reinforcement Learning Recommender System
FedSlate:A Federated Deep Reinforcement Learning Recommender System
Yongxin Deng
Xihe Qiu
Xiaoyu Tan
Yaochu Jin
FedML
88
0
0
23 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai
J. Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
73
0
0
09 Sep 2024
On the Convergence Rates of Federated Q-Learning across Heterogeneous
  Environments
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
Muxing Wang
Pengkun Yang
Lili Su
FedML
29
1
0
05 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm
  federated learning
Wind turbine condition monitoring based on intra- and inter-farm federated learning
Albin Grataloup
Stefan Jonas
Angela Meyer
AI4CE
31
0
0
05 Sep 2024
Federated Graph Learning with Structure Proxy Alignment
Federated Graph Learning with Structure Proxy Alignment
Xingbo Fu
Zihan Chen
Binchi Zhang
Chen Chen
Jundong Li
FedML
44
6
0
18 Aug 2024
Personalized Federated Collaborative Filtering: A Variational
  AutoEncoder Approach
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
Zhiwei Li
Guodong Long
Tianyi Zhou
Jing Jiang
Chengqi Zhang
FedML
30
3
0
16 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification
  with Personalization
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization
Shunxin Guo
Hongsong Wang
Shuxia Lin
Zhiqiang Kou
Xin Geng
FedML
33
1
0
15 Aug 2024
Enhancing Group Fairness in Federated Learning through Personalization
Enhancing Group Fairness in Federated Learning through Personalization
Yifan Yang
Ali Payani
Parinaz Naghizadeh Ardabili
FedML
32
0
0
27 Jul 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive
  Learning and Deep Clustering
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering
Ensieh Khazaei
Alireza Esmaeilzehi
Bilal Taha
Dimitrios Hatzinakos
FedML
20
1
0
17 Jul 2024
Combining Federated Learning and Control: A Survey
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedML
AI4CE
26
2
0
12 Jul 2024
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data
Yang Li
Chunhe Xia
Dongchi Huang
Xiaojian Li
Tianbo Wang
FedML
29
0
0
07 Jul 2024
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global
  Bypass for Medical Image Analysis
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis
Luyuan Xie
Manqing Lin
ChenMing Xu
Tianyu Luan
Zhipeng Zeng
Wenjun Qian
Cong Li
Yuejian Fang
Qingni Shen
Zhonghai Wu
33
2
0
29 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting
  Challenges and New Solutions
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
Laiqiao Qin
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
38
5
0
16 Jun 2024
Decentralized Personalized Federated Learning
Decentralized Personalized Federated Learning
Salma Kharrat
Marco Canini
Samuel Horváth
FedML
48
0
0
10 Jun 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
65
3
0
28 May 2024
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