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2103.04628
Cited By
Personalized Federated Learning using Hypernetworks
International Conference on Machine Learning (ICML), 2021
8 March 2021
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
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Papers citing
"Personalized Federated Learning using Hypernetworks"
50 / 190 papers shown
Sheaf HyperNetworks for Personalized Federated Learning
B. Nguyen
Lorenzo Sani
Xinchi Qiu
Pietro Lio
Nicholas D. Lane
238
4
0
31 May 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
Zheng Wang
Zheng Wang
Zhaopeng Peng
Zihui Wang
Cheng-i Wang
FedML
181
0
0
31 May 2024
Hate Speech Detection with Generalizable Target-aware Fairness
Tong Chen
Danny Wang
Xurong Liang
Marten Risius
Gianluca Demartini
Hongzhi Yin
429
11
0
28 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
Shutong Chen
Tianyi Zhou
Guodong Long
Jie Ma
Jing Jiang
Chengqi Zhang
FedML
252
2
0
26 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data
Wenfei Liang
Yanan Zhao
Rui She
Yiming Li
Wee Peng Tay
FedML
312
2
0
25 May 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization
Zexi Li
Lingzhi Gao
Chao Wu
AI4CE
DiffM
410
6
0
23 May 2024
Balancing Similarity and Complementarity for Federated Learning
International Conference on Machine Learning (ICML), 2024
Kunda Yan
Sen Cui
Abudukelimu Wuerkaixi
Jingfeng Zhang
Bo Han
Gang Niu
Masashi Sugiyama
Changshui Zhang
FedML
171
11
0
16 May 2024
Harmonizing Generalization and Personalization in Federated Prompt Learning
International Conference on Machine Learning (ICML), 2024
Tianyu Cui
Hongxia Li
Jingya Wang
Ye-ling Shi
FedML
VLM
211
25
0
16 May 2024
FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
Chenghao Huang
Xiaolu Chen
Yanru Zhang
Hao Wang
FedML
434
4
0
27 Apr 2024
Federated Learning with Only Positive Labels by Exploring Label Correlations
Xuming An
Dui Wang
Li Shen
Yong Luo
Han Hu
Bo Du
Yonggang Wen
Dacheng Tao
FedML
251
2
0
24 Apr 2024
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
Duy Phuong Nguyen
J. P. Muñoz
Ali Jannesari
VLM
168
18
0
12 Apr 2024
FLEX: FLEXible Federated Learning Framework
Francisco Herrera
Daniel Jiménez-López
Alberto Argente-Garrido
Nuria Rodríguez Barroso
Cristina Zuheros
Ignacio Aguilera-Martos
Beatriz Bello
Mario García-Márquez
M. V. Luzón
301
10
0
09 Apr 2024
Privacy Preserving Prompt Engineering: A Survey
Kennedy Edemacu
Xintao Wu
385
39
0
09 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Computer Vision and Pattern Recognition (CVPR), 2024
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
252
36
0
03 Apr 2024
Federated Multi-Agent Mapping for Planetary Exploration
Tiberiu-Ioan Szatmari
Abhishek Cauligi
FedML
AI4CE
330
1
0
02 Apr 2024
MAPL: Model Agnostic Peer-to-peer Learning
Sayak Mukherjee
Andrea Simonetto
Hadi Jamali Rad
288
2
0
28 Mar 2024
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
Yuxin Zhang
Haoyu Chen
Zheng Lin
Zhe Chen
Jin Zhao
FedML
268
38
0
25 Mar 2024
Architectural Blueprint For Heterogeneity-Resilient Federated Learning
Satwat Bashir
T. Dagiuklas
Kasra Kassai
Muddesar Iqbal
180
1
0
07 Mar 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li
Wei Huang
Jingya Wang
Ye-ling Shi
FedML
VLM
381
42
0
29 Feb 2024
Federated Learning for Estimating Heterogeneous Treatment Effects
Disha Makhija
Joydeep Ghosh
Yejin Kim
CML
FedML
373
3
0
27 Feb 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son
M. Kim
Tai-Myung Chung
Chao Huang
Xin Liu
FedML
196
8
0
27 Feb 2024
Personalized Federated Instruction Tuning via Neural Architecture Search
Peng Zhang
Yingbo Zhou
Ming Hu
Junxian Feng
Jiawen Weng
Xiao He
FedML
207
5
0
26 Feb 2024
Hypernetwork-Driven Model Fusion for Federated Domain Generalization
Marc Bartholet
Taehyeon Kim
Ami Beuret
SeYoung Yun
J. M. Buhmann
FedML
274
1
0
10 Feb 2024
Spectral Co-Distillation for Personalized Federated Learning
Zihan Chen
Howard H. Yang
Tony Q.S. Quek
Kai Fong Ernest Chong
OOD
FedML
247
22
0
29 Jan 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
P. M. Ghari
Yanning Shen
FedML
311
2
0
19 Jan 2024
Learn What You Need in Personalized Federated Learning
Kexin Lv
Rui Ye
Xiaolin Huang
Jie Yang
Siheng Chen
FedML
201
2
0
16 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning
Jianqing Zhang
Yang Liu
Yang Hua
Jian Cao
FedML
335
99
0
06 Jan 2024
Replica Tree-based Federated Learning using Limited Data
Ramona Ghilea
I. Rekik
178
0
0
28 Dec 2023
Cross Initialization for Personalized Text-to-Image Generation
Lianyu Pang
Jian Yin
Haoran Xie
Qiping Wang
Qing Li
Xudong Mao
DiffM
215
9
0
26 Dec 2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning
Zhongyi Cai
Ye-ling Shi
Wei Huang
Jingya Wang
FedML
290
9
0
21 Dec 2023
Efficient Verification-Based Face Identification
Amit Rozner
Barak Battash
Ofir Lindenbaum
Lior Wolf
CVBM
186
3
0
20 Dec 2023
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Liping Yi
Han Yu
Zhuan Shi
Gang Wang
Xiaoguang Liu
Lizhen Cui
Xiaoxiao Li
FedML
476
15
0
14 Dec 2023
Eliminating Domain Bias for Federated Learning in Representation Space
Neural Information Processing Systems (NeurIPS), 2023
Jianqing Zhang
Yang Hua
Jian Cao
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
268
66
0
25 Nov 2023
Energizing Federated Learning via Filter-Aware Attention
Ziyuan Yang
Zerui Shao
Huijie Huangfu
Hui Yu
Andrew Beng Jin Teoh
Xiaoxiao Li
Hongming Shan
Yi Zhang
FedML
244
0
0
18 Nov 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing
Liping Yi
Han Yu
Gang Wang
Xiaoguang Liu
225
9
0
12 Nov 2023
Personalized Online Federated Learning with Multiple Kernels
P. M. Ghari
Yanning Shen
231
16
0
09 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
FedML
424
2
0
08 Nov 2023
Adaptive Test-Time Personalization for Federated Learning
Neural Information Processing Systems (NeurIPS), 2023
Wenxuan Bao
Tianxin Wei
Haohan Wang
Jingrui He
TTA
OOD
236
32
0
28 Oct 2023
Contextual Stochastic Bilevel Optimization
Neural Information Processing Systems (NeurIPS), 2023
Yifan Hu
Jie Wang
Yao Xie
Andreas Krause
Daniel Kuhn
239
18
0
27 Oct 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Wenlong Deng
Christos Thrampoulidis
Xiaoxiao Li
622
20
0
27 Oct 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data
IEEE Transactions on Image Processing (IEEE TIP), 2023
Shiye Wang
Kaituo Feng
Changsheng Li
Ye Yuan
Guoren Wang
304
1
0
18 Oct 2023
Whole-brain radiomics for clustered federated personalization in brain tumor segmentation
International Conference on Medical Imaging with Deep Learning (MIDL), 2023
Matthis Manthe
Stefan Duffner
Carole Lartizien
FedML
277
4
0
17 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
Mingjia Shi
Yuhao Zhou
Xiaojiang Peng
Huaizheng Zhang
Shudong Huang
Qing Ye
Jiangcheng Lv
288
15
0
13 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
Liam Collins
Shanshan Wu
Sewoong Oh
K. Sim
FedML
276
11
0
06 Oct 2023
FedL2P: Federated Learning to Personalize
Neural Information Processing Systems (NeurIPS), 2023
Royson Lee
Minyoung Kim
Da Li
Xinchi Qiu
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
FedML
158
0
0
03 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
Neural Information Processing Systems (NeurIPS), 2023
Xiang Liu
Liangxi Liu
Feiyang Ye
Yunheng Shen
Xia Li
Linshan Jiang
Jialin Li
473
13
0
30 Sep 2023
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
IEEE International Conference on Computer Vision (ICCV), 2023
Fu-En Yang
Chien-Yi Wang
Yu-Chiang Frank Wang
VLM
FedML
277
102
0
29 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
IEEE International Conference on Computer Vision (ICCV), 2023
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
426
56
0
20 Aug 2023
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
IEEE International Conference on Computer Vision (ICCV), 2023
Guangyu Sun
Matías Mendieta
Jun Luo
Shandong Wu
Chong Chen
207
25
0
17 Aug 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts
IEEE International Conference on Computer Vision (ICCV), 2023
S. Park
Seunghan Yang
Jaegul Choo
Sungrack Yun
VLM
TTA
175
23
0
17 Aug 2023
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