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Personalized Federated Learning: A Meta-Learning Approach

Personalized Federated Learning: A Meta-Learning Approach

19 February 2020
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
    FedML
ArXivPDFHTML

Papers citing "Personalized Federated Learning: A Meta-Learning Approach"

50 / 291 papers shown
Title
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
23
0
0
11 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
49
0
0
08 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
Zhengyi Zhong
Weidong Bao
Ji Wang
Jianguo Chen
Lingjuan Lyu
Wei Yang Bryan Lim
CLL
41
0
0
01 May 2025
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
Sarang S
Druva Dhakshinamoorthy
Aditya Shiva Sharma
Yuvraj Singh Bhadauria
Siddharth Chaitra Vivek
Arihant Bansal
Arnab K. Paul
FedML
34
0
0
26 Apr 2025
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Xinyuan Huang
Jiechao Gao
FedML
AI4CE
39
0
0
08 Apr 2025
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control
Yongjie Fu
Lingyun Zhong
Zifan Li
Xuan Di
21
0
0
07 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
36
0
0
06 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
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
Haoyu Lei
Shizhan Gong
Qi Dou
Farzan Farnia
FedML
59
0
0
19 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
50
1
0
14 Mar 2025
Personalized Federated Learning via Learning Dynamic Graphs
Ziran Zhou
Guanyu Gao
Xiaohu Wu
Yan Lyu
FedML
45
0
0
07 Mar 2025
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
Jie Hao
Yuman Wu
Ali Payani
Myungjin Lee
Mingrui Liu
37
1
0
05 Mar 2025
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
Xi Chen
Qin Li
Haibin Cai
Ting Wang
49
0
0
28 Jan 2025
Task Diversity in Bayesian Federated Learning: Simultaneous Processing
  of Classification and Regression
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression
Junliang Lyu
Yixuan Zhang
Xiaoling Lu
Feng Zhou
FedML
75
0
0
14 Dec 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning
  with Shared Representations
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong
Shufan Wang
Daniel Jiang
Jian Li
FedML
73
1
0
22 Nov 2024
FedRAV: Hierarchically Federated Region-Learning for Traffic Object
  Classification of Autonomous Vehicles
FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles
Yijun Zhai
Pengzhan Zhou
Yuepeng He
Fang Qu
Zhida Qin
Xianlong Jiao
Guiyan Liu
Songtao Guo
69
0
0
21 Nov 2024
Electrical Load Forecasting in Smart Grid: A Personalized Federated
  Learning Approach
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
Ratun Rahman
Neeraj Kumar
Dinh C. Nguyen
21
4
0
15 Nov 2024
Collaborative and Federated Black-box Optimization: A Bayesian
  Optimization Perspective
Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
Raed Al Kontar
FedML
30
0
0
12 Nov 2024
FedSPD: A Soft-clustering Approach for Personalized Decentralized
  Federated Learning
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
I-Cheng Lin
Osman Yagan
Carlee Joe-Wong
FedML
23
1
0
24 Oct 2024
Which Client is Reliable?: A Reliable and Personalized Prompt-based
  Federated Learning for Medical Image Question Answering
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering
He Zhu
Ren Togo
Takahiro Ogawa
Miki Haseyama
MedIm
16
0
0
23 Oct 2024
A Bayesian Framework for Clustered Federated Learning
A Bayesian Framework for Clustered Federated Learning
Peng Wu
Tales Imbiriba
Pau Closas
FedML
46
0
0
20 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
SANSee: A Physical-layer Semantic-aware Networking Framework for
  Distributed Wireless Sensing
SANSee: A Physical-layer Semantic-aware Networking Framework for Distributed Wireless Sensing
Huixiang Zhu
Yong Xiao
Yingyu Li
Guangming Shi
Marwan Krunz
44
1
0
16 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
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
Influence-oriented Personalized Federated Learning
Influence-oriented Personalized Federated Learning
Yue Tan
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
19
0
0
04 Oct 2024
FedCert: Federated Accuracy Certification
FedCert: Federated Accuracy Certification
Minh Hieu Nguyen
Huu Tien Nguyen
Trung Thanh Nguyen
Manh Duong Nguyen
Trong Nghia Hoang
Truong Thao Nguyen
Phi Le Nguyen
FedML
27
0
0
04 Oct 2024
Collaborative and Efficient Personalization with Mixtures of Adaptors
Collaborative and Efficient Personalization with Mixtures of Adaptors
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
42
2
0
04 Oct 2024
Fine-Tuning Personalization in Federated Learning to Mitigate
  Adversarial Clients
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
Youssef Allouah
Abdellah El Mrini
R. Guerraoui
Nirupam Gupta
Rafael Pinot
FedML
27
0
0
30 Sep 2024
Personalized Federated Learning Techniques: Empirical Analysis
Personalized Federated Learning Techniques: Empirical Analysis
Azal Ahmad Khan
Ahmad Faraz Khan
Haider Ali
A. Anwar
FedML
22
1
0
10 Sep 2024
Bandwidth-Aware and Overlap-Weighted Compression for
  Communication-Efficient Federated Learning
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
Zichen Tang
Junlin Huang
Rudan Yan
Yuxin Wang
Zhenheng Tang
S. Shi
Amelie Chi Zhou
Xiaowen Chu
FedML
50
2
0
27 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm
On the Convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao
Rajita Chandak
Sanjeev R. Kulkarni
FedML
30
0
0
11 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data
  via Expert Collaborative Learning
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
37
0
0
04 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
Personalized Multi-tier Federated Learning
Personalized Multi-tier Federated Learning
Sourasekhar Banerjee
Ali Dadras
A. Yurtsever
Monowar Bhuyan
FedML
51
3
0
19 Jul 2024
Federated Knowledge Transfer Fine-tuning Large Server Model with
  Resource-Constrained IoT Clients
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients
Shaoyuan Chen
Linlin You
Rui Liu
Shuo Yu
A. Abdelmoniem
62
0
0
07 Jul 2024
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained
  Machines to Collaboratively Train Larger Models
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models
Jin Xie
Songze Li
FedML
31
0
0
04 Jul 2024
Low-Resource Machine Translation through the Lens of Personalized
  Federated Learning
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
Viktor Moskvoretskii
N. Tupitsa
Chris Biemann
Samuel Horváth
Eduard A. Gorbunov
Irina Nikishina
FedML
31
0
0
18 Jun 2024
Decentralized Personalized Federated Learning
Decentralized Personalized Federated Learning
Salma Kharrat
Marco Canini
Samuel Horváth
FedML
39
0
0
10 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form
  Classifiers
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
Eros Fani
Raffaello Camoriano
Barbara Caputo
Marco Ciccone
26
4
0
03 Jun 2024
Sheaf HyperNetworks for Personalized Federated Learning
Sheaf HyperNetworks for Personalized Federated Learning
B. Nguyen
Lorenzo Sani
Xinchi Qiu
Pietro Lió
Nicholas D. Lane
21
0
0
31 May 2024
Federated Learning in Healthcare: Model Misconducts, Security,
  Challenges, Applications, and Future Research Directions -- A Systematic
  Review
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
30
5
0
22 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency,
  Robustness and Privacy
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
Feng Wang
M. C. Gursoy
Senem Velipasalar
22
0
0
15 May 2024
On-device Online Learning and Semantic Management of TinyML Systems
On-device Online Learning and Semantic Management of TinyML Systems
Haoyu Ren
Xue Li
Darko Anicic
Thomas Runkler
37
3
0
13 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for
  Federated Learning
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning
Yanli Li
Jehad Ibrahim
Huaming Chen
Dong Yuan
Kim-Kwang Raymond Choo
22
0
0
03 May 2024
FedTrans: Efficient Federated Learning via Multi-Model Transformation
FedTrans: Efficient Federated Learning via Multi-Model Transformation
Yuxuan Zhu
Jiachen Liu
Mosharaf Chowdhury
Fan Lai
36
0
0
21 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of
  Parameters for Fine-Tuning
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
31
6
0
03 Apr 2024
Client-supervised Federated Learning: Towards One-model-for-all
  Personalization
Client-supervised Federated Learning: Towards One-model-for-all Personalization
Peng Yan
Guodong Long
FedML
33
2
0
28 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
Ziru Niu
Hai Dong
•. A. K. Qin
28
2
0
18 Mar 2024
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