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Decentralized Unsupervised Learning of Visual Representations
International Joint Conference on Artificial Intelligence (IJCAI), 2021
21 November 2021
Yawen Wu
Zhepeng Wang
Dewen Zeng
Meng Li
Yiyu Shi
Jingtong Hu
SSL
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Papers citing
"Decentralized Unsupervised Learning of Visual Representations"
17 / 17 papers shown
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases
Zhepeng Wang
Runxue Bao
Yawen Wu
Guodong Liu
Lei Yang
Chen Tang
Feng Zheng
Weiwen Jiang
Jinming Duan
390
2
0
09 Dec 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
413
5
0
19 Apr 2024
Resource-efficient Layer-wise Federated Self-supervised Learning
Ye Lin Tun
Chu Myaet Thwal
Le Quang Huy
Minh N. H. Nguyen
Choong Seon Hong
Choong Seon Hong
FedML
439
2
0
22 Jan 2024
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices
Zhepeng Wang
Isaacshubhanand Putla
Weiwen Jiang
Youzuo Lin
208
3
0
14 Oct 2023
Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles
Elton F. S. Soares
Carlos Alberto V. Campos
MDE
FedML
190
3
0
07 Oct 2023
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Neural Information Processing Systems (NeurIPS), 2023
Hongwu Peng
Ran Ran
Yukui Luo
Jiahui Zhao
Shaoyi Huang
...
Tong Geng
Chenghong Wang
Xiaolin Xu
Wujie Wen
Caiwen Ding
321
45
0
25 Sep 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
IEEE International Conference on Computer Vision (ICCV), 2023
Hongwu Peng
Shaoyi Huang
Tong Zhou
Yukui Luo
Chenghong Wang
...
Tony Geng
Kaleel Mahmood
Wujie Wen
Xiaolin Xu
Caiwen Ding
OffRL
289
43
0
20 Aug 2023
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment
Design Automation Conference (DAC), 2023
Hongwu Peng
Shangli Zhou
Yukui Luo
Nuo Xu
Shijin Duan
...
Chenghong Wang
Tong Geng
Wujie Wen
Xiaolin Xu
Caiwen Ding
202
10
0
27 Jun 2023
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model
International Conference on Quantum Computing and Engineering (QCE), 2023
Zhepeng Wang
Jinyang Li
Zhirui Hu
Blake Gage
Elizabeth Iwasawa
Weiwen Jiang
315
16
0
23 Apr 2023
G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network
Andrew Gold
J. Pouwelse
144
3
0
29 Jan 2023
Self-supervised On-device Federated Learning from Unlabeled Streams
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022
Jiahe Shi
Yawen Wu
Dewen Zeng
Jun Tao
Jingtong Hu
Yiyu Shi
FedML
282
8
0
02 Dec 2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets
Raviteja Vemulapalli
Warren Morningstar
Philip Mansfield
Hubert Eichner
K. Singhal
Arash Afkanpour
Bradley Green
FedML
289
2
0
30 Sep 2022
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yi Sheng
Lei Yang
A. James
Yiyu Shi
Jingtong Hu
237
9
0
24 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation
Yawen Wu
Dewen Zeng
Zhepeng Wang
Yiyu Shi
Jingtong Hu
FedML
245
66
0
07 Aug 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Haoteng Tang
Guixiang Ma
Lei Guo
Xiyao Fu
Heng-Chiao Huang
Li Zhang
183
34
0
14 Jul 2022
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yawen Wu
Zhepeng Wang
Dewen Zeng
Yiyu Shi
Jingtong Hu
SSL
241
19
0
14 Feb 2022
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
1.2K
4,664
0
17 Jun 2020
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