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Fine-tuning Global Model via Data-Free Knowledge Distillation for
  Non-IID Federated Learning

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

17 March 2022
Lin Zhang
Li Shen
Liang Ding
Dacheng Tao
Ling-Yu Duan
    FedML
ArXivPDFHTML

Papers citing "Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning"

50 / 130 papers shown
Title
FedSDD: Scalable and Diversity-enhanced Distillation for Model
  Aggregation in Federated Learning
FedSDD: Scalable and Diversity-enhanced Distillation for Model Aggregation in Federated Learning
Ho Man Kwan
Shenghui Song
FedML
17
2
0
28 Dec 2023
Federated Learning via Input-Output Collaborative Distillation
Federated Learning via Input-Output Collaborative Distillation
Xuan Gong
Shanglin Li
Yuxiang Bao
Barry Yao
Yawen Huang
Ziyan Wu
Baochang Zhang
Yefeng Zheng
David Doermann
FedML
8
6
0
22 Dec 2023
Model-Heterogeneous Federated Learning for Internet of Things: Enabling
  Technologies and Future Directions
Model-Heterogeneous Federated Learning for Internet of Things: Enabling Technologies and Future Directions
Boyu Fan
Siyang Jiang
Xiang Su
Pan Hui
12
3
0
19 Dec 2023
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes
Shunxin Guo
Hongsong Wang
Xin Geng
FedML
21
7
0
15 Dec 2023
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data
Jiangming Shi
Shanshan Zheng
Xiangbo Yin
Yang Lu
Yuan Xie
Yanyun Qu
VLM
FedML
35
10
0
14 Dec 2023
Feature Norm Regularized Federated Learning: Transforming Skewed
  Distributions into Global Insights
Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights
Ke Hu
Weidong Qiu
Peng Tang
22
0
0
12 Dec 2023
Exploiting Label Skews in Federated Learning with Model Concatenation
Exploiting Label Skews in Federated Learning with Model Concatenation
Yiqun Diao
Q. Li
Bingsheng He
FedML
22
16
0
11 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented
  Generation
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
Rui Ye
Yaxin Du
Zhenyang Ni
Siheng Chen
Yanfeng Wang
FedML
28
5
0
10 Dec 2023
Towards Fast and Stable Federated Learning: Confronting Heterogeneity
  via Knowledge Anchor
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor
Jinqian Chen
Jihua Zhu
Qinghai Zheng
38
3
0
05 Dec 2023
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial
  Learning
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
Pengchao Han
Xingyan Shi
Jianwei Huang
FedML
28
3
0
28 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space
Eliminating Domain Bias for Federated Learning in Representation Space
Jianqing Zhang
Yang Hua
Jian Cao
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
71
33
0
25 Nov 2023
Task-Distributionally Robust Data-Free Meta-Learning
Task-Distributionally Robust Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Yongxian Wei
Baoyuan Wu
Chun Yuan
Dacheng Tao
OOD
20
0
0
23 Nov 2023
Concept Matching: Clustering-based Federated Continual Learning
Concept Matching: Clustering-based Federated Continual Learning
Xiaopeng Jiang
Marcello Restelli
FedML
24
0
0
12 Nov 2023
Federated Learning with Manifold Regularization and Normalized Update
  Reaggregation
Federated Learning with Manifold Regularization and Normalized Update Reaggregation
Xuming An
Li Shen
Han Hu
Yong Luo
FedML
36
4
0
10 Nov 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in
  Federated Learning
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning
Mingjia Shi
Yuhao Zhou
Kai Wang
Huaizheng Zhang
Shudong Huang
Qing Ye
Jiangcheng Lv
21
9
0
13 Oct 2023
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with Prompting
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLL
FedML
21
2
0
13 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated
  Learning
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning
Zhiqin Yang
Yonggang Zhang
Yuxiang Zheng
Xinmei Tian
Hao Peng
Tongliang Liu
Bo Han
FedML
30
61
0
08 Oct 2023
Heterogeneous Federated Learning Using Knowledge Codistillation
Heterogeneous Federated Learning Using Knowledge Codistillation
Jared Lichtarge
Ehsan Amid
Shankar Kumar
Tien-Ju Yang
Rohan Anil
Rajiv Mathews
FedML
26
0
0
04 Oct 2023
Towards Stable Backdoor Purification through Feature Shift Tuning
Towards Stable Backdoor Purification through Feature Shift Tuning
Rui Min
Zeyu Qin
Li Shen
Minhao Cheng
AAML
33
20
0
03 Oct 2023
Deep Model Fusion: A Survey
Deep Model Fusion: A Survey
Weishi Li
Yong Peng
Miao Zhang
Liang Ding
Han Hu
Li Shen
FedML
MoMe
28
51
0
27 Sep 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated
  Learning
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
Kangyang Luo
Shuai Wang
Y. Fu
Xiang Li
Yunshi Lan
Minghui Gao
FedML
16
23
0
24 Sep 2023
FedCiR: Client-Invariant Representation Learning for Federated Non-IID
  Features
FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
Zijian Li
Zehong Lin
Jiawei Shao
Yuyi Mao
Jun Zhang
OOD
27
10
0
30 Aug 2023
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
17
58
0
29 Aug 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in
  Federated Learning
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
Gihun Lee
Minchan Jeong
Sangmook Kim
Jaehoon Oh
Se-Young Yun
FedML
24
8
0
24 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning
Feature Matching Data Synthesis for Non-IID Federated Learning
Zijian Li
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
26
19
0
09 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
16
16
0
08 Aug 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID
  Data
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data
Zhuang Qi
Lei Meng
Zitan Chen
Han Hu
Hui Lin
Xiangxu Meng
FedML
13
18
0
07 Aug 2023
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
Ilkay Sikdokur
Inci M. Baytas
A. Yurdakul
FedML
12
0
0
25 Jul 2023
Mitigating Cross-client GANs-based Attack in Federated Learning
Mitigating Cross-client GANs-based Attack in Federated Learning
Hong Huang
Xinyu Lei
Tao Xiang
AAML
45
1
0
25 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
26
22
0
20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
29
244
0
20 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
26
4
0
05 Jul 2023
An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning
Cheng Yang
Xue Yang
Dongxian Wu
Xiaohu Tang
FedML
19
0
0
21 Jun 2023
Confidence-based federated distillation for vision-based lane-centering
Confidence-based federated distillation for vision-based lane-centering
Yitao Chen
Dawei Chen
Haoxin Wang
Kyungtae Han
Mingbi Zhao
FedML
13
3
0
05 Jun 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
Junyuan Hong
Yi Zeng
Shuyang Yu
Lingjuan Lyu
R. Jia
Jiayu Zhou
AAML
11
8
0
04 Jun 2023
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
Tuo Zhang
Tiantian Feng
Samiul Alam
Dimitrios Dimitriadis
Sunwoo Lee
Mi Zhang
Shrikanth S. Narayanan
Salman Avestimehr
FedML
13
27
0
03 Jun 2023
Federated Domain Generalization: A Survey
Federated Domain Generalization: A Survey
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OOD
FedML
AI4CE
34
29
0
02 Jun 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
FedDisco: Federated Learning with Discrepancy-Aware Collaboration
Rui Ye
Mingkai Xu
Jianyu Wang
Chenxin Xu
Siheng Chen
Yanfeng Wang
FedML
35
61
0
30 May 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Baoyuan Wu
Chun Yuan
Dacheng Tao
47
7
0
28 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning:
  Approaching Global Consistency and Smooth Landscape
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
Yan Sun
Li Shen
Shi-Yong Chen
Liang Ding
Dacheng Tao
FedML
27
33
0
19 May 2023
MrTF: Model Refinery for Transductive Federated Learning
MrTF: Model Refinery for Transductive Federated Learning
Xin-Chun Li
Yang Yang
De-Chuan Zhan
22
3
0
07 May 2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket
  Pruning in Edge Computing
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing
Yi Shi
Kang Wei
Li Shen
Jun Li
Xueqian Wang
Bo Yuan
Song Guo
33
5
0
02 May 2023
Towards the Flatter Landscape and Better Generalization in Federated
  Learning under Client-level Differential Privacy
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
Yi Shi
Kang Wei
Li Shen
Yingqi Liu
Xueqian Wang
Bo Yuan
Dacheng Tao
FedML
28
2
0
01 May 2023
Fair Federated Medical Image Segmentation via Client Contribution
  Estimation
Fair Federated Medical Image Segmentation via Client Contribution Estimation
Meirui Jiang
H. Roth
Wenqi Li
Dong Yang
Can Zhao
V. Nath
Daguang Xu
Qianming Dou
Ziyue Xu
FedML
15
47
0
29 Mar 2023
Make Landscape Flatter in Differentially Private Federated Learning
Make Landscape Flatter in Differentially Private Federated Learning
Yi Shi
Yingqi Liu
Kang Wei
Li Shen
Xueqian Wang
Dacheng Tao
FedML
17
54
0
20 Mar 2023
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu
Li Shen
Zhenyi Wang
Tongliang Liu
Chun Yuan
Dacheng Tao
47
4
0
20 Mar 2023
Data-Free Sketch-Based Image Retrieval
Data-Free Sketch-Based Image Retrieval
Abhra Chaudhuri
A. Bhunia
Yi-Zhe Song
Anjan Dutta
40
7
0
14 Mar 2023
Stabilizing and Improving Federated Learning with Non-IID Data and
  Client Dropout
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout
Jian Xu
Mei Yang
Wenbo Ding
Shao-Lun Huang
FedML
12
3
0
11 Mar 2023
Reducing Non-IID Effects in Federated Autonomous Driving with
  Contrastive Divergence Loss
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss
Tuong Khanh Long Do
Binh X. Nguyen
Hien Nguyen
Erman Tjiputra
Quang-Dieu Tran
Te-Chuan Chiu
A. Nguyen
25
0
0
11 Mar 2023
FedACK: Federated Adversarial Contrastive Knowledge Distillation for
  Cross-Lingual and Cross-Model Social Bot Detection
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Yingguang Yang
Renyu Yang
Hao Peng
Yangyang Li
Tong Li
Yong Liao
Pengyuan Zhou
FedML
29
28
0
10 Mar 2023
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