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1909.06335
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Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
13 September 2019
T. Hsu
Qi
Matthew Brown
FedML
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Papers citing
"Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"
50 / 209 papers shown
Title
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Jonas Geiping
Liam H. Fowl
Hossein Souri
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27
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Federated Learning with Privacy-Preserving Ensemble Attention Distillation
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...
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Zhenyang Ni
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31
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Jean Ogier du Terrail
Samy Ayed
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...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
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Ekdeep Singh Lubana
Masakuni Ueda
Hidenori Tanaka
50
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0
02 Oct 2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data
Minh-Duong Nguyen
Viet Quoc Pham
D. Hoang
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Diep N. Nguyen
W. Hwang
21
2
0
29 Sep 2022
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Teresa Salazar
Miguel X. Fernandes
Helder Araújo
Pedro Abreu
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35
18
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Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy
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Wei Wang
Ruichuan Chen
43
6
0
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Network-Level Adversaries in Federated Learning
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20
17
0
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50
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0
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NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
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Jongheon Jeong
Taewon Kim
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120
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A. Avestimehr
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35
38
0
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Felix X. Yu
Cho-Jui Hsieh
FedML
DD
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82
0
20 Jul 2022
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Sungwon Park
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M. Cha
FedML
29
53
0
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Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
Mingbin Xu
Congzheng Song
Ye Tian
Neha Agrawal
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...
Shiyi Han
Yaqiao Deng
Leo Liu
Anmol Walia
Alex Jin
FedML
15
22
0
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FLAIR: Federated Learning Annotated Image Repository
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Filip Granqvist
Kunal Talwar
FedML
21
28
0
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Multi-Level Branched Regularization for Federated Learning
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Geeho Kim
Bohyung Han
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22
53
0
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Towards the Practical Utility of Federated Learning in the Medical Domain
Seongjun Yang
Hyeonji Hwang
Daeyoung Kim
Radhika Dua
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Eunho Yang
E. Choi
FedML
OOD
21
16
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Kshitiz Malik
Maziar Sanjabi
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23
21
0
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Songshan Liu
Hualiang Wang
Howard H. Yang
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Zuozhu Liu
FedML
23
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0
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On Privacy and Personalization in Cross-Silo Federated Learning
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Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
22
51
0
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Gradient Obfuscation Gives a False Sense of Security in Federated Learning
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Richeng Jin
Chau-Wai Wong
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H. Dai
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31
46
0
08 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
Kiwan Maeng
Haiyu Lu
Luca Melis
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Michael G. Rabbat
Carole-Jean Wu
FedML
31
31
0
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DELTA: Diverse Client Sampling for Fasting Federated Learning
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Yongxin Guo
Tao R. Lin
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23
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0
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A Fair Federated Learning Framework With Reinforcement Learning
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Shijing Si
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Yuhan Dong
Z. Zhu
Jing Xiao
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13
7
0
26 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
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Boi Faltings
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1
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23 May 2022
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Emre Ozfatura
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FedML
36
32
0
23 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
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FedML
78
90
0
17 May 2022
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Lu Lin
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73
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Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction
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Federated Progressive Sparsification (Purge, Merge, Tune)+
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Time-triggered Federated Learning over Wireless Networks
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Yansha Deng
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34
20
0
26 Apr 2022
A Closer Look at Personalization in Federated Image Classification
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Liyan Sun
Yue Huang
Zhenlong Xiao
Xinghao Ding
32
1
0
22 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization
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35
36
0
13 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
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Zhen Wang
Dawei Gao
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21
88
0
11 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement
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30
11
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SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
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Joongheon Kim
18
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0
26 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
An Xu
Wenqi Li
Pengfei Guo
Dong Yang
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51
0
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Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
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253
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Deep Class Incremental Learning from Decentralized Data
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8
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Guodong Long
Dinesh Manocha
Jing Jiang
Chengqi Zhang
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Li Shen
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FedML
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43
0
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