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FedBABU: Towards Enhanced Representation for Federated Image
  Classification

FedBABU: Towards Enhanced Representation for Federated Image Classification

4 June 2021
Jaehoon Oh
Sangmook Kim
Se-Young Yun
    FedML
ArXivPDFHTML

Papers citing "FedBABU: Towards Enhanced Representation for Federated Image Classification"

38 / 38 papers shown
Title
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
33
0
0
05 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Md. Tanzib Hosain
Asif Zaman
Md. Shahriar Sajid
Shadman Sakeeb Khan
Shanjida Akter
45
0
0
03 May 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
Shunxin Guo
Jiaqi Lv
Xin Geng
44
0
0
27 Apr 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates
Chuanyin Wang
Yifei Zhang
Neng Gao
Qiang Luo
FedML
63
0
0
12 Mar 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou
Xiangmou Qu
Chenlong You
Jiyang Zhou
Jingyue Tang
Xin Zheng
Chunmao Cai
Yingbo Wu
FedML
50
1
0
09 Jan 2025
Personalized Hierarchical Split Federated Learning in Wireless Networks
Personalized Hierarchical Split Federated Learning in Wireless Networks
Md Ferdous Pervej
Andreas F. Molisch
26
0
0
09 Nov 2024
FedReMa: Improving Personalized Federated Learning via Leveraging the
  Most Relevant Clients
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients
Han Liang
Ziwei Zhan
Weijie Liu
Xiaoxi Zhang
Chee Wei Tan
Xu Chen
FedML
24
0
0
04 Nov 2024
Influence-oriented Personalized Federated Learning
Influence-oriented Personalized Federated Learning
Yue Tan
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
24
0
0
04 Oct 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai
J. Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
73
0
0
09 Sep 2024
The Key of Parameter Skew in Federated Learning
The Key of Parameter Skew in Federated Learning
Sifan Wang
Junfeng Liao
Ye Yuan
Riquan Zhang
FedML
31
0
0
21 Aug 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
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
45
1
0
25 Jul 2024
Personalized federated learning based on feature fusion
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
31
0
0
24 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for
  Federated Learning
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
Seongyoon Kim
Minchan Jeong
Sungnyun Kim
Sungwoo Cho
Sumyeong Ahn
Se-Young Yun
FedML
42
0
0
04 Jun 2024
Personalized Federated Learning via Sequential Layer Expansion in
  Representation Learning
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning
Jaewon Jang
Bonjun Choi
FedML
47
0
0
27 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of
  Parameters for Fine-Tuning
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
31
6
0
03 Apr 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated
  Learning
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li
Wei Huang
Jingya Wang
Ye-ling Shi
FedML
VLM
33
19
0
29 Feb 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son
M. Kim
Tai-Myung Chung
Chao Huang
Xin Liu
FedML
41
3
0
27 Feb 2024
Efficient Model Personalization in Federated Learning via
  Client-Specific Prompt Generation
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation
Fu-En Yang
Chien-Yi Wang
Yu-Chiang Frank Wang
VLM
FedML
21
59
0
29 Aug 2023
You Can Backdoor Personalized Federated Learning
You Can Backdoor Personalized Federated Learning
Tiandi Ye
Cen Chen
Yinggui Wang
Xiang Li
Ming Gao
AAML
FedML
27
4
0
29 Jul 2023
FedSoup: Improving Generalization and Personalization in Federated
  Learning via Selective Model Interpolation
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
Minghui Chen
Meirui Jiang
Qianming Dou
Zehua Wang
Xiaoxiao Li
FedML
30
15
0
20 Jul 2023
Layer-wise Linear Mode Connectivity
Layer-wise Linear Mode Connectivity
Linara Adilova
Maksym Andriushchenko
Michael Kamp
Asja Fischer
Martin Jaggi
FedML
FAtt
MoMe
26
15
0
13 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Shiyu Liu
Shaogao Lv
Dun Zeng
Zenglin Xu
Hongya Wang
Yue Yu
FedML
20
3
0
05 Jul 2023
Structured Cooperative Learning with Graphical Model Priors
Structured Cooperative Learning with Graphical Model Priors
Shuang-Yang Li
Tianyi Zhou
Xinmei Tian
Dacheng Tao
27
0
0
16 Jun 2023
FCA: Taming Long-tailed Federated Medical Image Classification by
  Classifier Anchoring
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
29
5
0
01 May 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients
FedAgg: Adaptive Federated Learning with Aggregated Gradients
Wenhao Yuan
Xuehe Wang
FedML
30
0
0
28 Mar 2023
FS-Real: Towards Real-World Cross-Device Federated Learning
FS-Real: Towards Real-World Cross-Device Federated Learning
Daoyuan Chen
Dawei Gao
Yuexiang Xie
Xuchen Pan
Zitao Li
Yaliang Li
Bolin Ding
Jingren Zhou
109
26
0
23 Mar 2023
Stochastic Clustered Federated Learning
Stochastic Clustered Federated Learning
Dun Zeng
Xiangjing Hu
Shiyu Liu
Yue Yu
Qifan Wang
Zenglin Xu
FedML
20
13
0
02 Mar 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
18
8
0
26 Jan 2023
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
24
75
0
27 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
22
1
0
22 Apr 2022
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
188
840
0
01 Mar 2021
FedADC: Accelerated Federated Learning with Drift Control
FedADC: Accelerated Federated Learning with Drift Control
Emre Ozfatura
Kerem Ozfatura
Deniz Gunduz
FedML
27
37
0
16 Dec 2020
Performance Optimization for Federated Person Re-identification via
  Benchmark Analysis
Performance Optimization for Federated Person Re-identification via Benchmark Analysis
Weiming Zhuang
Yonggang Wen
Xuesen Zhang
Xin Gan
Daiying Yin
Dongzhan Zhou
Shuai Zhang
Shuai Yi
FedML
76
95
0
26 Aug 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
186
542
0
30 Mar 2020
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
171
326
0
19 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
172
639
0
19 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,561
0
17 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,681
0
09 Mar 2017
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