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Personalized Federated Learning using Hypernetworks

Personalized Federated Learning using Hypernetworks

International Conference on Machine Learning (ICML), 2021
8 March 2021
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
    FedML
ArXiv (abs)PDFHTML

Papers citing "Personalized Federated Learning using Hypernetworks"

50 / 188 papers shown
Title
UPFL: Unsupervised Personalized Federated Learning towards New Clients
UPFL: Unsupervised Personalized Federated Learning towards New ClientsSDM (SDM), 2023
Tiandi Ye
Cen Chen
Yinggui Wang
Xiang Li
Ming Gao
FedML
119
4
0
29 Jul 2023
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image
  Models
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image ModelsACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2023
Moab Arar
Rinon Gal
Yuval Atzmon
Gal Chechik
Daniel Cohen-Or
Ariel Shamir
Amit H. Bermano
DiffM
163
92
0
13 Jul 2023
FedCP: Separating Feature Information for Personalized Federated
  Learning via Conditional Policy
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional PolicyKnowledge Discovery and Data Mining (KDD), 2023
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
189
97
0
01 Jul 2023
Elastically-Constrained Meta-Learner for Federated Learning
Elastically-Constrained Meta-Learner for Federated Learning
Peng Lan
Donglai Chen
Chong Xie
Keshu Chen
Jinyuan He
Juntao Zhang
Yonghong Chen
Yan Xu
FedML
200
2
0
29 Jun 2023
Personalized Federated Learning with Feature Alignment and Classifier
  Collaboration
Personalized Federated Learning with Feature Alignment and Classifier CollaborationInternational Conference on Learning Representations (ICLR), 2023
Jian Xu
Xin-Yi Tong
Shao-Lun Huang
FedML
186
151
0
20 Jun 2023
Structured Cooperative Learning with Graphical Model Priors
Structured Cooperative Learning with Graphical Model PriorsInternational Conference on Machine Learning (ICML), 2023
Shuang-Yang Li
Wanrong Zhu
Xinmei Tian
Dacheng Tao
164
0
0
16 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
Disha Makhija
Joydeep Ghosh
Nhat Ho
FedML
174
2
0
13 Jun 2023
A Brief Review of Hypernetworks in Deep Learning
A Brief Review of Hypernetworks in Deep LearningArtificial Intelligence Review (AIR), 2023
Vinod Kumar Chauhan
Jiandong Zhou
Ping Lu
Soheila Molaei
David Clifton
393
144
0
12 Jun 2023
Personalization Disentanglement for Federated Learning: An explainable
  perspective
Personalization Disentanglement for Federated Learning: An explainable perspectiveIEEE International Conference on Multimedia and Expo (ICME), 2023
Peng Yan
Guodong Long
FedML
122
6
0
06 Jun 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized
  Federated Learning
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning
Jiahao Tan
Yipeng Zhou
Gang Liu
Jessie Hui Wang
Shui Yu
FedML
117
24
0
25 May 2023
Confidence-aware Personalized Federated Learning via Variational
  Expectation Maximization
Confidence-aware Personalized Federated Learning via Variational Expectation MaximizationComputer Vision and Pattern Recognition (CVPR), 2023
Junyi Zhu
Xingchen Ma
Matthew B. Blaschko
FedML
154
35
0
21 May 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
FedDWA: Personalized Federated Learning with Dynamic Weight AdjustmentInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Jiahao Liu
Jiang Wu
Jinyu Chen
Di Wu
Yipeng Zhou
Di Wu
FedML
202
30
0
10 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Efficient Personalized Federated Learning via Sparse Model-AdaptationInternational Conference on Machine Learning (ICML), 2023
Daoyuan Chen
Fandong Meng
Dawei Gao
Bolin Ding
Yaliang Li
FedML
435
70
0
04 May 2023
Personalized Federated Learning under Mixture of Distributions
Personalized Federated Learning under Mixture of DistributionsInternational Conference on Machine Learning (ICML), 2023
Yue Wu
Shuaicheng Zhang
Wenchao Yu
Yanchi Liu
Quanquan Gu
Dawei Zhou
Haifeng Chen
Wei Cheng
FedML
173
60
0
01 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image
  Classification
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Hong-You Chen
Shitian Zhao
Ruotong Wang
Xuhui Jia
Qi
Boqing Gong
Wei-Lun Chao
Li Zhang
FedML
181
7
0
16 Apr 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in
  Road Traffic Systems
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic SystemsIEEE Transactions on Intelligent Vehicles (TIV), 2023
Rui Song
Runsheng Xu
Andreas Festag
Jiaqi Ma
Alois Knoll
FedML
202
32
0
04 Apr 2023
FedFTN: Personalized Federated Learning with Deep Feature Transformation
  Network for Multi-institutional Low-count PET Denoising
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Bo Zhou
Huidong Xie
Qiong Liu
Xiongchao Chen
Xueqi Guo
...
Biao Li
Axel Rominger
Kuangyu Shi
James S. Duncan
Chi Liu
OOD
191
1
0
02 Apr 2023
Anti-DreamBooth: Protecting users from personalized text-to-image
  synthesis
Anti-DreamBooth: Protecting users from personalized text-to-image synthesisIEEE International Conference on Computer Vision (ICCV), 2023
T. Le
Hao Phung
Thuan Hoang Nguyen
Quan Dao
Ngoc N. Tran
Anh Tran
292
128
0
27 Mar 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header
FedGH: Heterogeneous Federated Learning with Generalized Global HeaderACM Multimedia (ACM MM), 2023
Liping Yi
Gang Wang
Xiaoguang Liu
Zhuan Shi
Han Yu
FedML
289
130
0
23 Mar 2023
Visual Prompt Based Personalized Federated Learning
Visual Prompt Based Personalized Federated Learning
Guang-Ming Li
Wansen Wu
Yan Sun
Li Shen
Baoyuan Wu
Dacheng Tao
FedMLVLM
138
18
0
15 Mar 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in
  Federated Learning
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning
Shih-Fang Chang
Benny Wei-Yun Hsu
Tien-Yu Chang
Vincent S. Tseng
118
3
0
27 Feb 2023
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image
  Models
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image ModelsACM Transactions on Graphics (TOG), 2023
Rinon Gal
Moab Arar
Yuval Atzmon
Amit H. Bermano
Gal Chechik
Daniel Cohen-Or
DiffM
360
229
0
23 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated
  Learning
Personalized Privacy-Preserving Framework for Cross-Silo Federated LearningIEEE Transactions on Emerging Topics in Computing (IEEE TETC), 2023
Van Tuan Tran
Huy Hieu Pham
Kok-Seng Wong
FedML
204
10
0
22 Feb 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
800
5,549
1
10 Feb 2023
Personalised Federated Learning On Heterogeneous Feature Spaces
Personalised Federated Learning On Heterogeneous Feature Spaces
A. Rakotomamonjy
Maxime Vono
H. M. Ruiz
L. Ralaivola
FedML
153
11
0
26 Jan 2023
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for
  On-Device Inference
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device InferenceEuropean Conference on Computer Vision (ECCV), 2023
Alind Khare
A. Agrawal
Aditya Annavajjala
Rohit Das
Myungjin Lee
Hugo Latapie
Alexey Tumanov
FedML
142
3
0
26 Jan 2023
The Best of Both Worlds: Accurate Global and Personalized Models through
  Federated Learning with Data-Free Hyper-Knowledge Distillation
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge DistillationInternational Conference on Learning Representations (ICLR), 2023
Huancheng Chen
Johnny
J. Wang
H. Vikalo
FedML
186
53
0
21 Jan 2023
FedCliP: Federated Learning with Client Pruning
FedCliP: Federated Learning with Client Pruning
Beibei Li
Zerui Shao
Ao Liu
Peiran Wang
FedML
223
2
0
17 Jan 2023
Dual Personalization on Federated Recommendation
Dual Personalization on Federated RecommendationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Chunxu Zhang
Guodong Long
Tianyi Zhou
Peng Yan
Zijian Zhang
Chengqi Zhang
Bo Yang
FedML
149
57
0
16 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications
FedDebug: Systematic Debugging for Federated Learning ApplicationsInternational Conference on Software Engineering (ICSE), 2023
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
217
13
0
09 Jan 2023
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 LearningEnergies (Energies), 2022
Lorin Jenkel
S. Jonas
Angela Meyer
FedML
171
12
0
07 Dec 2022
Differentiated Federated Reinforcement Learning Based Traffic Offloading
  on Space-Air-Ground Integrated Networks
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2022
Yeguang Qin
Yilin Yang
Zhiqi Guo
Xin Yao
Mingde Zhao
Nei Kato
249
11
0
05 Dec 2022
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
FedALA: Adaptive Local Aggregation for Personalized Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
316
343
0
02 Dec 2022
Flow: Per-Instance Personalized Federated Learning Through Dynamic
  Routing
Flow: Per-Instance Personalized Federated Learning Through Dynamic RoutingNeural Information Processing Systems (NeurIPS), 2022
Kunjal Panchal
Sunav Choudhary
Nisarg Parikh
Lijun Zhang
Hui Guan
262
7
0
28 Nov 2022
Time Series Forecasting with Hypernetworks Generating Parameters in
  Advance
Time Series Forecasting with Hypernetworks Generating Parameters in Advance
Jaehoon Lee
C. Kim
Gyumin Lee
Haksoo Lim
Jeongwhan Choi
Kookjin Lee
Dongeun Lee
Sanghyun Hong
Noseong Park
OODAI4TS
128
4
0
22 Nov 2022
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under
  Non-IID Data
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data
Ming Yang
Yanhan Wang
Xin Wang
Zhenyong Zhang
Xiaoming Wu
Peng Cheng
FedML
139
1
0
17 Nov 2022
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization
Jingang Qu
T. Faney
Zehao Wang
Patrick Gallinari
Soleiman Yousef
J. D. Hemptinne
OOD
262
10
0
15 Nov 2022
Personalized Federated Learning with Multi-branch Architecture
Personalized Federated Learning with Multi-branch ArchitectureIEEE International Joint Conference on Neural Network (IJCNN), 2022
Junki Mori
T. Yoshiyama
Ryo Furukawa
Isamu Teranishi
FedML
186
2
0
15 Nov 2022
FedTP: Federated Learning by Transformer Personalization
FedTP: Federated Learning by Transformer PersonalizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Hongxia Li
Zhongyi Cai
Jingya Wang
Jiangnan Tang
Weiping Ding
Chin-Teng Lin
Ye-ling Shi
FedML
233
101
0
03 Nov 2022
Addressing Heterogeneity in Federated Learning via Distributional
  Transformation
Addressing Heterogeneity in Federated Learning via Distributional TransformationEuropean Conference on Computer Vision (ECCV), 2022
Haolin Yuan
Bo Hui
Yuchen Yang
Philippe Burlina
Neil Zhenqiang Gong
Yinzhi Cao
FedMLOOD
132
14
0
26 Oct 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning
Federated Fuzzy Neural Network with Evolutionary Rule LearningIEEE transactions on fuzzy systems (IEEE TFS), 2022
Leijie Zhang
Ye-ling Shi
Yu-Cheng Chang
Chin-Teng Lin
FedML
132
25
0
26 Oct 2022
Personalized Federated Hypernetworks for Privacy Preservation in
  Multi-Task Reinforcement Learning
Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning
Doseok Jang
La-mei Yan
Lucas Spangher
C. Spanos
118
1
0
13 Oct 2022
FedPC: Federated Learning for Language Generation with Personal and
  Context Preference Embeddings
FedPC: Federated Learning for Language Generation with Personal and Context Preference Embeddings
Andrew Silva
Pradyumna Tambwekar
Matthew C. Gombolay
FedML
136
0
0
07 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning
PersA-FL: Personalized Asynchronous Federated LearningOptimization Methods and Software (OMS), 2022
Taha Toghani
Soomin Lee
César A. Uribe
FedML
241
7
0
03 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models
OCD: Learning to Overfit with Conditional Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Shahar Lutati
Lior Wolf
DiffM
250
10
0
02 Oct 2022
Rethinking Data Heterogeneity in Federated Learning: Introducing a New
  Notion and Standard Benchmarks
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard BenchmarksIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Mahdi Morafah
Saeed Vahidian
Chong Chen
M. Shah
Bill Lin
FedML
134
66
0
30 Sep 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge
  Networks
Semi-Synchronous Personalized Federated Learning over Mobile Edge NetworksIEEE Transactions on Wireless Communications (TWC), 2022
Chaoqun You
Daquan Feng
Kun Guo
Howard H. Yang
Tony Q.S. Quek
121
18
0
27 Sep 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning
  Approach
Federated Learning from Pre-Trained Models: A Contrastive Learning ApproachNeural Information Processing Systems (NeurIPS), 2022
Yue Tan
Guodong Long
Jie Ma
Lu Liu
Tianyi Zhou
Jing Jiang
FedML
224
243
0
21 Sep 2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation
  Framework for Efficient Device Model Generalization
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model GeneralizationThe Web Conference (WWW), 2022
Zheqi Lv
Wenqiao Zhang
Shengyu Zhang
Kun Kuang
Feng Wang
...
Ruihao Zhang
Tao Shen
Hongxia Yang
Bengchin Ooi
Leilei Gan
232
61
0
12 Sep 2022
Personalized Federated Learning with Communication Compression
Personalized Federated Learning with Communication Compression
El Houcine Bergou
Konstantin Burlachenko
Aritra Dutta
Peter Richtárik
FedML
190
10
0
12 Sep 2022
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