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Federated Learning with Personalization Layers

Federated Learning with Personalization Layers

2 December 2019
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with Personalization Layers"

50 / 120 papers shown
Title
Revisiting Personalized Federated Learning: Robustness Against Backdoor
  Attacks
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
38
25
0
03 Feb 2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID
Robust Knowledge Adaptation for Federated Unsupervised Person ReID
Jianfeng Weng
Kun Hu
Tingting Yao
Jingya Wang
Zhiyong Wang
FedML
24
2
0
18 Jan 2023
FedCliP: Federated Learning with Client Pruning
FedCliP: Federated Learning with Client Pruning
Beibei Li
Zerui Shao
Ao Liu
Peiran Wang
FedML
45
1
0
17 Jan 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications
Graph Federated Learning for CIoT Devices in Smart Home Applications
Arash Rasti-Meymandi
S. M. Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
FedML
22
18
0
29 Dec 2022
Towards Fleet-wide Sharing of Wind Turbine Condition Information through
  Privacy-preserving Federated Learning
Towards Fleet-wide Sharing of Wind Turbine Condition Information through Privacy-preserving Federated Learning
Lorin Jenkel
S. Jonas
Angela Meyer
FedML
41
6
0
07 Dec 2022
Exploiting Personalized Invariance for Better Out-of-distribution
  Generalization in Federated Learning
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning
Xueyang Tang
Song Guo
Jie Zhang
FedML
OODD
OOD
36
3
0
21 Nov 2022
Scalable Collaborative Learning via Representation Sharing
Scalable Collaborative Learning via Representation Sharing
Frédéric Berdoz
Abhishek Singh
Martin Jaggi
Ramesh Raskar
FedML
22
3
0
20 Nov 2022
Personalized Federated Learning with Multi-branch Architecture
Personalized Federated Learning with Multi-branch Architecture
Junki Mori
T. Yoshiyama
Ryo Furukawa
Isamu Teranishi
FedML
31
2
0
15 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning
  In A Distributed System
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System
Yue Yang
Jingwei Sun
Ang Li
H. Li
Yiran Chen
OOD
31
0
0
11 Nov 2022
FedTP: Federated Learning by Transformer Personalization
FedTP: Federated Learning by Transformer Personalization
Hongxia Li
Zhongyi Cai
Jingya Wang
Jiangnan Tang
Weiping Ding
Chin-Teng Lin
Ye-ling Shi
FedML
35
59
0
03 Nov 2022
Completely Heterogeneous Federated Learning
Completely Heterogeneous Federated Learning
Chang-Shu Liu
Yuwen Yang
Xun Cai
Yue Ding
Hongtao Lu
FedML
20
8
0
28 Oct 2022
Find Your Friends: Personalized Federated Learning with the Right
  Collaborators
Find Your Friends: Personalized Federated Learning with the Right Collaborators
Yi Sui
Junfeng Wen
Yenson Lau
Brendan Leigh Ross
Jesse C. Cresswell
FedML
38
10
0
12 Oct 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Bart Cox
L. Chen
Jérémie Decouchant
FedML
27
11
0
12 Oct 2022
FedBA: Non-IID Federated Learning Framework in UAV Networks
FedBA: Non-IID Federated Learning Framework in UAV Networks
Peichun Li
Zhijun Liu
Luyi Chang
Jialiang Peng
Yi Wu
FedML
31
0
0
10 Oct 2022
FedDAR: Federated Domain-Aware Representation Learning
FedDAR: Federated Domain-Aware Representation Learning
Aoxiao Zhong
Hao He
Zhaolin Ren
Na Li
Quanzheng Li
OOD
AI4CE
29
9
0
08 Sep 2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with
  Ego-graphs
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
Taolin Zhang
Chuan Chen
Yaomin Chang
Lin Shu
Zibin Zheng
FedML
31
14
0
29 Aug 2022
Knowledge-Injected Federated Learning
Knowledge-Injected Federated Learning
Zhenan Fan
Zirui Zhou
Jian Pei
M. Friedlander
Jiajie Hu
Chengliang Li
Yong Zhang
FedML
25
4
0
16 Aug 2022
Multi-Task and Transfer Learning for Federated Learning Applications
Multi-Task and Transfer Learning for Federated Learning Applications
Cihat Keçeci
M. Shaqfeh
Hayat Mbayed
E. Serpedin
FedML
22
3
0
17 Jul 2022
Towards Federated Long-Tailed Learning
Towards Federated Long-Tailed Learning
Zihan Chen
Songshan Liu
Hualiang Wang
Howard H. Yang
Tony Q. S. Quek
Zuozhu Liu
FedML
23
10
0
30 Jun 2022
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
Xinteng Ma
Renyi Bao
Jinpeng Jiang
Yang Liu
Arthur Jiang
Junhua Yan
Xin Liu
Zhisong Pan
FedML
32
6
0
20 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and
  Federated Image Classification
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Aliaksandra Shysheya
J. Bronskill
Massimiliano Patacchiola
Sebastian Nowozin
Richard Turner
3DH
FedML
38
27
0
17 Jun 2022
Personalized Federated Learning via Variational Bayesian Inference
Personalized Federated Learning via Variational Bayesian Inference
Xu Zhang
Yinchuan Li
Wenpeng Li
Kaiyang Guo
Yunfeng Shao
FedML
43
85
0
16 Jun 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Zijian Li
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jinchao Zhang
FedML
15
39
0
11 Jun 2022
Hypernetwork-based Personalized Federated Learning for
  Multi-Institutional CT Imaging
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging
Ziyuan Yang
Wenjun Xia
Zexin Lu
Yingyu Chen
Xiaoxia Li
Yi Zhang
FedML
OOD
16
28
0
08 Jun 2022
Certified Robustness in Federated Learning
Certified Robustness in Federated Learning
Motasem Alfarra
Juan C. Pérez
Egor Shulgin
Peter Richtárik
Guohao Li
AAML
FedML
23
7
0
06 Jun 2022
Can Foundation Models Help Us Achieve Perfect Secrecy?
Can Foundation Models Help Us Achieve Perfect Secrecy?
Simran Arora
Christopher Ré
FedML
24
6
0
27 May 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
32
75
0
27 May 2022
Personalized Federated Learning with Server-Side Information
Personalized Federated Learning with Server-Side Information
Jaehun Song
Min Hwan Oh
Hyung-Sin Kim
FedML
35
8
0
23 May 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma
Jie Zhang
Song Guo
Wenchao Xu
FedML
24
170
0
09 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised
  Learning
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
23
8
0
05 May 2022
A Closer Look at Personalization in Federated Image Classification
A Closer Look at Personalization in Federated Image Classification
Changxing Jing
Yan Huang
Yihong Zhuang
Liyan Sun
Yue Huang
Zhenlong Xiao
Xinghao Ding
35
1
0
22 Apr 2022
IOP-FL: Inside-Outside Personalization for Federated Medical Image
  Segmentation
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation
Meirui Jiang
Hongzheng Yang
Chen Cheng
Qianming Dou
34
32
0
16 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
21
88
0
11 Apr 2022
CD$^2$-pFed: Cyclic Distillation-guided Channel Decoupling for Model
  Personalization in Federated Learning
CD2^22-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning
Yiqing Shen
Yuyin Zhou
Lequan Yu
OOD
21
55
0
08 Apr 2022
Federated Learning with Partial Model Personalization
Federated Learning with Partial Model Personalization
Krishna Pillutla
Kshitiz Malik
Abdel-rahman Mohamed
Michael G. Rabbat
Maziar Sanjabi
Lin Xiao
FedML
41
154
0
08 Apr 2022
Federated Learning from Only Unlabeled Data with
  Class-Conditional-Sharing Clients
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients
Nan Lu
Zhao Wang
Xiaoxiao Li
Gang Niu
Qianming Dou
Masashi Sugiyama
FedML
27
39
0
07 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin
Yang Peng
Wenhao Yang
Shusen Wang
Zhihua Zhang
57
67
0
06 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models
Sparse Federated Learning with Hierarchical Personalized Models
Xiaofeng Liu
Qing Wang
Yunfeng Shao
Yinchuan Li
FedML
47
11
0
25 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos
I. Koutsopoulos
Michalis K. Titsias
FedML
31
9
0
20 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial
  Networks
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Xingjian Cao
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
21
56
0
18 Feb 2022
On the Convergence of Clustered Federated Learning
On the Convergence of Clustered Federated Learning
Ma Jie
Guodong Long
Dinesh Manocha
Jing Jiang
Chengqi Zhang
FedML
36
46
0
13 Feb 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated
  Learning
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
A. Bietti
Chen-Yu Wei
Miroslav Dudík
John Langford
Zhiwei Steven Wu
FedML
20
43
0
10 Feb 2022
Energy-Aware Edge Association for Cluster-based Personalized Federated
  Learning
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning
Yixuan Li
Xiaoqi Qin
H. Chen
K. Han
Ping Zhang
FedML
27
13
0
06 Feb 2022
Achieving Personalized Federated Learning with Sparse Local Models
Achieving Personalized Federated Learning with Sparse Local Models
Tiansheng Huang
Shiwei Liu
Li Shen
Fengxiang He
Weiwei Lin
Dacheng Tao
FedML
30
43
0
27 Jan 2022
Specificity-Preserving Federated Learning for MR Image Reconstruction
Specificity-Preserving Federated Learning for MR Image Reconstruction
Chun-Mei Feng
Yu-bao Yan
Shanshan Wang
Yong Xu
Ling Shao
Huazhu Fu
OOD
40
78
0
09 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare
Personalized Federated Learning with Adaptive Batchnorm for Healthcare
Wang Lu
Jindong Wang
Yiqiang Chen
Xin Qin
Renjun Xu
Dimitrios Dimitriadis
Tao Qin
FedML
OOD
19
61
0
01 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
36
76
0
26 Nov 2021
Personalized Federated Learning through Local Memorization
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
27
87
0
17 Nov 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly
  Detection
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection
Ali Anaissi
Basem Suleiman
FedML
27
1
0
04 Nov 2021
A Federated Learning Aggregation Algorithm for Pervasive Computing:
  Evaluation and Comparison
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
Sannara Ek
François Portet
P. Lalanda
Germán Vega
FedML
31
105
0
19 Oct 2021
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