Differential Privacy Meets Federated Learning under Communication Constraints

28 January 2021

Papers citing "Differential Privacy Meets Federated Learning under Communication Constraints"

7 / 7 papers shown

Title
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 43 0 0 08 Aug 2024
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework Siyuan Yu Wei Chen H. V. Poor 32 0 0 17 Jun 2024
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning Guangfeng Yan Tan Li Tian-Shing Lan Kui Wu Linqi Song 19 6 0 12 Dec 2023
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence Veronika Stephanie I. Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman FedML 13 10 0 16 May 2023
Distributed Learning Meets 6G: A Communication and Computing Perspective Shashank Jere Yifei Song Yuhao Yi Lingjia Liu 31 10 0 02 Mar 2023
Federated Dynamic Spectrum Access Yifei Song Haowen Chang Zhou Zhou Shashank Jere Lingjia Liu 9 5 0 28 Jun 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019