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Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid
  Views

Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views

12 October 2024
Xinyue Chen
Yazhou Ren
Jie Xu
Fangfei Lin
X. Pu
Yang Yang
    FedML
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views"

10 / 10 papers shown
Title
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view
  Clustering
GCFAgg: Global and Cross-view Feature Aggregation for Multi-view Clustering
Weiqing Yan
Yuanyang Zhang
Chenlei Lv
Chang Tang
Guanghui Yue
Liang Liao
Weisi Lin
59
48
0
11 May 2023
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and
  Prototype Alignment
Deep Incomplete Multi-view Clustering with Cross-view Partial Sample and Prototype Alignment
Jiaqi Jin
Siwei Wang
Zhibin Dong
Xinwang Liu
En Zhu
62
45
0
28 Mar 2023
Localized Sparse Incomplete Multi-view Clustering
Localized Sparse Incomplete Multi-view Clustering
Chengliang Liu
Zhihao Wu
Jie Wen
Chao Huang
Yong-mei Xu
56
87
0
05 Aug 2022
Multi-level Feature Learning for Contrastive Multi-view Clustering
Multi-level Feature Learning for Contrastive Multi-view Clustering
Jie Xu
Huayi Tang
Yazhou Ren
Liang Peng
Xiao-lan Zhu
Lifang He
59
169
0
21 Jun 2021
Federated Multi-View Learning for Private Medical Data Integration and
  Analysis
Federated Multi-View Learning for Private Medical Data Integration and Analysis
Sicong Che
Hao Peng
Lichao Sun
Yong Chen
Lifang He
FedML
110
40
0
04 May 2021
Non-Linear Fusion for Self-Paced Multi-View Clustering
Non-Linear Fusion for Self-Paced Multi-View Clustering
Zongmo Huang
Yazhou Ren
X. Pu
Lifang He
46
24
0
19 Apr 2021
Inverting Gradients -- How easy is it to break privacy in federated
  learning?
Inverting Gradients -- How easy is it to break privacy in federated learning?
Jonas Geiping
Hartmut Bauermeister
Hannah Dröge
Michael Moeller
FedML
103
1,228
0
31 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
511
42,449
0
03 Dec 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,883
0
25 Aug 2017
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
213
6,130
0
01 Jul 2016
1