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2204.03809
Cited By
Federated Learning with Partial Model Personalization
8 April 2022
Krishna Pillutla
Kshitiz Malik
Abdel-rahman Mohamed
Michael G. Rabbat
Maziar Sanjabi
Lin Xiao
FedML
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Papers citing
"Federated Learning with Partial Model Personalization"
34 / 84 papers shown
Title
Layer-wise Linear Mode Connectivity
Linara Adilova
Maksym Andriushchenko
Michael Kamp
Asja Fischer
Martin Jaggi
FedML
FAtt
MoMe
26
15
0
13 Jul 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably
Ziheng Cheng
Xinmeng Huang
Pengfei Wu
Kun Yuan
FedML
21
16
0
28 Jun 2023
FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning
Rishub Tamirisa
John Won
Chengjun Lu
Ron Arel
Andy Zhou
FedML
20
3
0
23 Jun 2023
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
29
0
0
29 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
Konstantin Mishchenko
Rustem Islamov
Eduard A. Gorbunov
Samuel Horváth
FedML
33
11
0
29 May 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training
Yi Shi
Yingqi Liu
Yan Sun
Zihao Lin
Li Shen
Xueqian Wang
Dacheng Tao
FedML
31
10
0
24 May 2023
Now It Sounds Like You: Learning Personalized Vocabulary On Device
Sida Wang
Ashish Shenoy
P. Chuang
John Nguyen
VLM
30
2
0
05 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification
Hong-You Chen
Jike Zhong
Mingda Zhang
Xuhui Jia
Qi
Boqing Gong
Wei-Lun Chao
Li Zhang
FedML
25
6
0
16 Apr 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Rui Song
Runsheng Xu
Andreas Festag
Jiaqi Ma
Alois C. Knoll
FedML
21
25
0
04 Apr 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header
Liping Yi
Gang Wang
Xiaoguang Liu
Zhuan Shi
Han Yu
FedML
14
71
0
23 Mar 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang
Li Shen
Yan Sun
Weiwei Lin
Dacheng Tao
FedML
40
12
0
21 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
Chulin Xie
De-An Huang
Wen-Hsuan Chu
Daguang Xu
Chaowei Xiao
Bo-wen Li
Anima Anandkumar
FedML
8
10
0
13 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
40
44
0
06 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
Zeyu Qin
Liuyi Yao
Daoyuan Chen
Yaliang Li
Bolin Ding
Minhao Cheng
FedML
23
25
0
03 Feb 2023
Federated Recommendation with Additive Personalization
Zhiwei Li
Guodong Long
Tianyi Zhou
FedML
15
15
0
22 Jan 2023
Dual Personalization on Federated Recommendation
Chunxu Zhang
Guodong Long
Tianyi Zhou
Peng Yan
Zijian Zhang
Chengqi Zhang
Bo Yang
FedML
13
29
0
16 Jan 2023
PaDPaF: Partial Disentanglement with Partially-Federated GANs
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
13
0
0
07 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning
Jun Luo
Matías Mendieta
C. L. P. Chen
Shan-Jyun Wu
FedML
17
9
0
02 Dec 2022
Decentralized Learning with Multi-Headed Distillation
A. Zhmoginov
Mark Sandler
Nolan Miller
Gus Kristiansen
Max Vladymyrov
FedML
17
4
0
28 Nov 2022
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing
Kunjal Panchal
Sunav Choudhary
Nisarg Parikh
Lijun Zhang
Hui Guan
16
5
0
28 Nov 2022
Completely Heterogeneous Federated Learning
Chang-Shu Liu
Yuwen Yang
Xun Cai
Yue Ding
Hongtao Lu
FedML
15
8
0
28 Oct 2022
lo-fi: distributed fine-tuning without communication
Mitchell Wortsman
Suchin Gururangan
Shen Li
Ali Farhadi
Ludwig Schmidt
Michael G. Rabbat
Ari S. Morcos
19
24
0
19 Oct 2022
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen
Jianyu Wang
Kshitiz Malik
Maziar Sanjabi
Michael G. Rabbat
FedML
AI4CE
6
68
0
14 Oct 2022
Personalized Federated Learning with Communication Compression
El Houcine Bergou
Konstantin Burlachenko
Aritra Dutta
Peter Richtárik
FedML
72
9
0
12 Sep 2022
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
John Nguyen
Jianyu Wang
Kshitiz Malik
Maziar Sanjabi
Michael G. Rabbat
FedML
AI4CE
13
21
0
30 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Aliaksandra Shysheya
J. Bronskill
Massimiliano Patacchiola
Sebastian Nowozin
Richard E. Turner
3DH
FedML
30
27
0
17 Jun 2022
FedPop: A Bayesian Approach for Personalised Federated Learning
Nikita Kotelevskii
Maxime Vono
Eric Moulines
Alain Durmus
FedML
19
34
0
07 Jun 2022
Straggler-Resilient Personalized Federated Learning
Isidoros Tziotis
Zebang Shen
Ramtin Pedarsani
Hamed Hassani
Aryan Mokhtari
FedML
19
9
0
05 Jun 2022
Federated Learning via Inexact ADMM
Shenglong Zhou
Geoffrey Ye Li
FedML
11
57
0
22 Apr 2022
Efficient Wireless Federated Learning with Partial Model Aggregation
Zhixiong Chen
Wenqiang Yi
A. Nallanathan
Geoffrey Ye Li
35
10
0
20 Apr 2022
FedDAG: Federated DAG Structure Learning
Erdun Gao
Junjia Chen
Li Shen
Tongliang Liu
Mingming Gong
H. Bondell
FedML
35
17
0
07 Dec 2021
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
173
410
0
14 Jul 2021
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
183
541
0
30 Mar 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach
Yassine Laguel
Krishna Pillutla
J. Malick
Zaïd Harchaoui
FedML
19
22
0
25 Feb 2020
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