Model Segmentation for Storage Efficient Private Federated Learning with
Top $r$ Sparsification

Model Segmentation for Storage Efficient Private Federated Learning with Top $r$ Sparsification

22 December 2022

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Papers citing "Model Segmentation for Storage Efficient Private Federated Learning with Top $r$ Sparsification"

13 / 13 papers shown

Title
Rate-Privacy-Storage Tradeoff in Federated Learning with Top $r$ Sparsification Sajani Vithana S. Ulukus FedML 56 5 0 19 Dec 2022
Private Read Update Write (PRUW) in Federated Submodel Learning (FSL): Communication Efficient Schemes With and Without Sparsification Sajani Vithana S. Ulukus FedML 68 20 0 09 Sep 2022
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning Sajani Vithana S. Ulukus FedML 89 8 0 07 Jun 2022
Private Federated Submodel Learning with Sparsification Sajani Vithana S. Ulukus FedML 64 10 0 31 May 2022
Private Read Update Write (PRUW) with Storage Constrained Databases Sajani Vithana S. Ulukus 56 13 0 07 Feb 2022
rTop-k: A Statistical Estimation Approach to Distributed SGD L. P. Barnes Huseyin A. Inan Berivan Isik Ayfer Özgür 57 65 0 21 May 2020
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
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 97 2,207 0 21 Jun 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 75 2,318 0 13 Feb 2019
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 152 1,474 0 10 May 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos Basel Alomair 144 1,143 0 22 Feb 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang 90 526 0 26 Oct 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016