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Towards Personalized Federated Learning

Towards Personalized Federated Learning

1 March 2021
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
    FedML
    AI4CE
ArXivPDFHTML

Papers citing "Towards Personalized Federated Learning"

50 / 355 papers shown
Title
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
Distributionally Robust Clustered Federated Learning: A Case Study in
  Healthcare
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare
Xenia Konti
Hans Riess
Manos Giannopoulos
Yi Shen
Michael J. Pencina
Nicoleta J. Economou-Zavlanos
Michael M. Zavlanos
FedML
OOD
23
1
0
09 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized
  Federated Learning
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
Zhilong Li
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Mengmeng Chen
Qiqi Liu
Qicheng Lao
Han Yu
FedML
32
1
0
09 Oct 2024
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
Jianqing Zhang
Yang Janet Liu
Yang Hua
Jian Cao
Qiang Yang
FedML
30
0
0
09 Oct 2024
pFedGame -- Decentralized Federated Learning using Game Theory in
  Dynamic Topology
pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology
Monik Raj Behera
Suchetana Chakraborty
FedML
23
0
0
05 Oct 2024
A Federated Distributionally Robust Support Vector Machine with Mixture
  of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis
Michael Ibrahim
Heraldo Rozas
N. Gebraeel
Weijun Xie
FedML
OOD
28
0
0
04 Oct 2024
Personalized Quantum Federated Learning for Privacy Image Classification
Personalized Quantum Federated Learning for Privacy Image Classification
Jinjing Shi
Tian Chen
Shichao Zhang
Xuelong Li
FedML
31
0
0
03 Oct 2024
Fair Decentralized Learning
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
32
0
0
03 Oct 2024
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous
  Settings via Neural Tangent Kernel
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
Gabriel Thompson
Kai Yue
Chau-Wai Wong
H. Dai
FedML
13
0
0
02 Oct 2024
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous
  Federated Learning Framework
SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
Yuxin Zhang
Zheng Lin
Zhe Chen
Zihan Fang
Wenjun Zhu
Xianhao Chen
Jin Zhao
Yue Gao
FedML
25
17
0
20 Sep 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based
  Clustering
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
Rasoul Jafari Gohari
Laya Aliahmadipour
Ezat Valipour
FedML
30
0
0
16 Sep 2024
Applied Federated Model Personalisation in the Industrial Domain: A
  Comparative Study
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study
Ilias Siniosoglou
Vasileios Argyriou
G. Fragulis
Panagiotis E. Fouliras
Georgios Th. Papadopoulos
A. Lytos
Panagiotis G. Sarigiannidis
32
1
0
10 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
27
1
0
10 Sep 2024
Rate-Constrained Quantization for Communication-Efficient Federated
  Learning
Rate-Constrained Quantization for Communication-Efficient Federated Learning
Shayan Mohajer Hamidi
Ali Bereyhi
FedML
MQ
23
1
0
10 Sep 2024
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and
  Resource Efficiency
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
Ahmed Imteaj
Md Zarif Hossain
Saika Zaman
Abdur R. Shahid
VLM
21
1
0
09 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
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive
  Personalization
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization
Qianyi Zhao
Chen Qu
Cen Chen
Mingyuan Fan
Yanhao Wang
24
1
0
28 Aug 2024
Research on Personalized Compression Algorithm for Pre-trained Models
  Based on Homomorphic Entropy Increase
Research on Personalized Compression Algorithm for Pre-trained Models Based on Homomorphic Entropy Increase
Yicong Li
Xing Guo
Haohua Du
30
0
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
Heterogeneity: An Open Challenge for Federated On-board Machine Learning
Heterogeneity: An Open Challenge for Federated On-board Machine Learning
Maria Hartmann
Grégoire Danoy
Pascal Bouvry
FedML
34
0
0
13 Aug 2024
Personalizing Federated Instrument Segmentation with Visual Trait Priors
  in Robotic Surgery
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery
Jialang Xu
Jiacheng Wang
Lequan Yu
Danail Stoyanov
Yueming Jin
E. Mazomenos
26
1
0
06 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
CELLM: An Efficient Communication in Large Language Models Training for
  Federated Learning
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning
Raja Vavekanand
Kira Sam
42
0
0
30 Jul 2024
Federated Learning based Latent Factorization of Tensors for
  Privacy-Preserving QoS Prediction
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
Shuai Zhong
Zengtong Tang
Di Wu
26
0
0
29 Jul 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
A collaborative ensemble construction method for federated random forest
A collaborative ensemble construction method for federated random forest
Penjan Antonio Eng Lim
Cheong Hee Park
FedML
22
5
0
27 Jul 2024
Peak-Controlled Logits Poisoning Attack in Federated Distillation
Peak-Controlled Logits Poisoning Attack in Federated Distillation
Yuhan Tang
Aoxu Zhang
Zhiyuan Wu
Bo Gao
Tian Wen
Yuwei Wang
Sheng Sun
FedML
AAML
36
0
0
25 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization,
  Robustness, and Fairness
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Yuan Yao
Zhiyong Peng
42
0
0
23 Jul 2024
The Diversity Bonus: Learning from Dissimilar Distributed Clients in
  Personalized Federated Learning
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
32
3
0
22 Jul 2024
Tackling Selfish Clients in Federated Learning
Tackling Selfish Clients in Federated Learning
Andrea Augello
Ashish Gupta
G. Re
Sajal K. Das
FedML
21
0
0
22 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 Learning Forecasting for Strengthening Grid Reliability and
  Enabling Markets for Resilience
Federated Learning Forecasting for Strengthening Grid Reliability and Enabling Markets for Resilience
Lucas Pereira
V. J. Nair
Bruno Dias
Hugo Morais
Anuradha Annaswamy
16
0
0
16 Jul 2024
FedLog: Personalized Federated Classification with Less Communication
  and More Flexibility
FedLog: Personalized Federated Classification with Less Communication and More Flexibility
Haolin Yu
Guojun Zhang
Pascal Poupart
FedML
27
0
0
11 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
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
Smart Sampling: Helping from Friendly Neighbors for Decentralized
  Federated Learning
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning
Lin Wang
Yang Chen
Yongxin Guo
Xiaoying Tang
FedML
48
0
0
05 Jul 2024
Personalized federated learning based on feature fusion
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
31
0
0
24 Jun 2024
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous
  Model Aggregation in Federated Learning
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning
Zahir Alsulaimawi
27
0
0
23 Jun 2024
FLoCoRA: Federated learning compression with low-rank adaptation
FLoCoRA: Federated learning compression with low-rank adaptation
Lucas Grativol Ribeiro
Mathieu Léonardon
Guillaume Muller
Virginie Fresse
Matthieu Arzel
AI4CE
21
1
0
20 Jun 2024
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated
  Meta-Learning: Convergence-Generalization Trade-Offs
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs
Haifeng Wen
Hong Xing
Osvaldo Simeone
AI4CE
40
3
0
17 Jun 2024
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges
Ping Liu
Qiqi Tao
Joey Tianyi Zhou
50
0
0
11 Jun 2024
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against
  Personalized Federated Learning
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
Xiaoting Lyu
Yufei Han
Wei Wang
Jingkai Liu
Yongsheng Zhu
Guangquan Xu
Jiqiang Liu
Xiangliang Zhang
AAML
FedML
49
6
0
10 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection
  in Internet of Vehicles
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
Cyprien Quéméneur
S. Cherkaoui
39
3
0
05 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
34
4
0
03 Jun 2024
Federated Model Heterogeneous Matryoshka Representation Learning
Federated Model Heterogeneous Matryoshka Representation Learning
Liping Yi
Han Yu
Chao Ren
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
FedML
43
8
0
01 Jun 2024
FedAST: Federated Asynchronous Simultaneous Training
FedAST: Federated Asynchronous Simultaneous Training
Baris Askin
Pranay Sharma
Carlee Joe-Wong
Gauri Joshi
43
1
0
01 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
33
0
0
31 May 2024
FCOM: A Federated Collaborative Online Monitoring Framework via
  Representation Learning
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Tanapol Kosolwattana
Huazheng Wang
Raed Al Kontar
Ying Lin
FedML
42
0
0
30 May 2024
On Vessel Location Forecasting and the Effect of Federated Learning
On Vessel Location Forecasting and the Effect of Federated Learning
A. Tritsarolis
N. Pelekis
K. Bereta
D. Zissis
Y. Theodoridis
FedML
25
2
0
30 May 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
63
3
0
28 May 2024
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