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2309.11103
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Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration
20 September 2023
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Guogang Zhu
Shaojie Tang
FedML
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Papers citing
"Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration"
26 / 26 papers shown
Title
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
203
1
0
25 Jul 2024
Efficient Personalized Federated Learning via Sparse Model-Adaptation
Daoyuan Chen
Fandong Meng
Dawei Gao
Bolin Ding
Yaliang Li
FedML
148
51
0
04 May 2023
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models
Yupeng Zhang
Hongzhi Zhang
Sirui Wang
Wei Wu
Zhoujun Li
AAML
66
1
0
22 Oct 2022
Multi-Level Branched Regularization for Federated Learning
Jinkyu Kim
Geeho Kim
Bohyung Han
FedML
44
54
0
14 Jul 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma
Jie Zhang
Song Guo
Wenchao Xu
FedML
64
181
0
09 May 2022
Federated Learning with Partial Model Personalization
Krishna Pillutla
Kshitiz Malik
Abdel-rahman Mohamed
Michael G. Rabbat
Maziar Sanjabi
Lin Xiao
FedML
65
164
0
08 Apr 2022
Personalized Federated Learning With Graph
Fengwen Chen
Guodong Long
Zonghan Wu
Tianyi Zhou
Jing Jiang
FedML
63
54
0
02 Mar 2022
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Jun Luo
Shandong Wu
OOD
MQ
116
77
0
15 Oct 2021
Federated Learning for Open Banking
Guodong Long
Yue Tan
Jing Jiang
Chengqi Zhang
AIFin
FedML
80
275
0
24 Aug 2021
Personalized Federated Learning with Contextualized Generalization
Xueyang Tang
Song Guo
Jingcai Guo
FedML
50
38
0
24 Jun 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
197
480
0
01 May 2021
Model-Contrastive Federated Learning
Qinbin Li
Bingsheng He
D. Song
FedML
74
1,036
0
30 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
271
809
0
15 Feb 2021
Exploiting Shared Representations for Personalized Federated Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
OOD
101
712
0
14 Feb 2021
Personalized Federated Learning with First Order Model Optimization
Michael Zhang
Karan Sapra
Sanja Fidler
Serena Yeung
J. Álvarez
FedML
60
295
0
15 Dec 2020
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang
Lingyang Chu
Zirui Zhou
Lanjun Wang
Jiangchuan Liu
J. Pei
Yong Zhang
FedML
79
607
0
07 Jul 2020
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh
N. H. Tran
Tuan Dung Nguyen
FedML
87
992
0
16 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning
Tao R. Lin
Lingjing Kong
Sebastian U. Stich
Martin Jaggi
FedML
97
1,038
0
12 Jun 2020
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
253
1,761
0
18 Mar 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Yang Liu
Anbu Huang
Yu Luo
He Huang
Youzhi Liu
Yuanyuan Chen
Lican Feng
Tianjian Chen
Hang Yu
Qiang Yang
FedML
152
301
0
17 Jan 2020
Federated Learning with Personalization Layers
Manoj Ghuhan Arivazhagan
V. Aggarwal
Aaditya Kumar Singh
Sunav Choudhary
FedML
87
837
0
02 Dec 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu
Qi
Matthew Brown
FedML
135
1,143
0
13 Sep 2019
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
76
879
0
25 Jun 2019
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
239
1,196
0
04 Oct 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
380
17,437
0
17 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
193,426
0
10 Dec 2015
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