Secure Federated Clustering

31 May 2022

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Papers citing "Secure Federated Clustering"

23 / 23 papers shown

Title
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models Liam H. Fowl Jonas Geiping W. Czaja Micah Goldblum Tom Goldstein FedML 103 146 0 25 Oct 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 80 148 0 01 Mar 2021
Dynamic Clustering in Federated Learning Yeongwoo Kim Ezeddin Al Hakim Johan Haraldson Henrik Eriksson J. M. B. D. Silva Carlo Fischione 28 57 0 07 Dec 2020
Diverse Image Generation via Self-Conditioned GANs Steven Liu Tongzhou Wang David Bau Jun-Yan Zhu Antonio Torralba SyDa 44 107 0 18 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 46 982 0 16 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 28 846 0 07 Jun 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 61 1,207 0 31 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 224 1,746 0 18 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 81 569 0 25 Feb 2020
Differentially Private Set Union Sivakanth Gopi P. Gulhane Janardhan Kulkarni J. Shen Milad Shokouhi Sergey Yekhanin FedML 27 32 0 22 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 120 566 0 19 Feb 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 98 982 0 04 Oct 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 50 2,185 0 21 Jun 2019
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 58 624 0 07 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 38 780 0 03 Dec 2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks Sudipto Mukherjee Himanshu Asnani Eugene Lin Sreeram Kannan GAN 27 335 0 10 Sep 2018
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy Qian-long Yu Songze Li Netanel Raviv Seyed Mohammadreza Mousavi Kalan Jinhyun So A. Avestimehr 56 387 0 04 Jun 2018
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 56 1,791 0 30 May 2017
Agnostic Estimation of Mean and Covariance Kevin A. Lai Anup B. Rao Santosh Vempala 50 344 0 24 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 169 17,235 0 17 Feb 2016
Distributed k-Means and k-Median Clustering on General Topologies Maria-Florina Balcan Steven Ehrlich Yingyu Liang 124 124 0 03 Jun 2013
A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm M. E. Celebi H. Kingravi Patricio A. Vela 46 1,120 0 10 Sep 2012
Improved Spectral-Norm Bounds for Clustering Pranjal Awasthi Or Sheffet 40 114 0 14 Jun 2012