Private and Communication-Efficient Edge Learning: A Sparse Differential
Gaussian-Masking Distributed SGD Approach

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Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach

12 January 2020

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Papers citing "Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach"

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Title
Smoothed Normalization for Efficient Distributed Private Optimization Egor Shulgin Sarit Khirirat Peter Richtárik FedML 133 0 0 20 Feb 2025
Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization Sudeep Salgia Nikola Pavlovic Yuejie Chi Qing Zhao 124 0 0 06 Jan 2025
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 99 0 0 08 Aug 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 67 0 0 04 May 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity Kai Yi Nidham Gazagnadou Peter Richtárik Lingjuan Lyu 136 11 0 15 Apr 2024
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy Weidong Liu Xiaojun Mao Xiaofei Zhang Xin Zhang 72 2 0 02 Jan 2024
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 46 1 0 30 Oct 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining Xidong Wu Zhengmian Hu Jian Pei Heng Huang 103 13 0 06 Aug 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning Tomoya Murata Taiji Suzuki 102 9 0 08 Feb 2023
On the Interaction Between Differential Privacy and Gradient Compression in Deep Learning Jimmy J. Lin 37 0 0 01 Nov 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression Zhize Li Haoyu Zhao Boyue Li Yuejie Chi FedML 81 41 0 20 Jun 2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy Rui Hu Yanmin Gong Yuanxiong Guo FedML 87 73 0 15 Feb 2022
CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning Haibo Yang Jia Liu Elizabeth S. Bentley FedML 40 20 0 14 Jun 2021
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems Minghong Fang Neil Zhenqiang Gong Jia-Wei Liu TDI 97 155 0 19 Feb 2020