Confidential Computing across Edge-to-Cloud for Machine Learning: A Survey Study

31 July 2023

Papers citing "Confidential Computing across Edge-to-Cloud for Machine Learning: A Survey Study"

4 / 4 papers shown

Title
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 96 167 0 01 Mar 2023
AI-Driven Confidential Computing across Edge-to-Cloud Continuum S. Zobaed 24 3 0 03 Jan 2023
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX Chengliang Zhang Junzhe Xia Baichen Yang Huancheng Puyang Wei Wang Ruichuan Chen Istemi Ekin Akkus Paarijaat Aditya Feng Yan FedML 53 39 0 04 May 2021
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider Mohammad Shahrad Rodrigo Fonseca Íñigo Goiri G. Chaudhry Paul Batum Jason Cooke Eduardo Laureano Colby Tresness M. Russinovich Ricardo Bianchini 89 601 0 06 Mar 2020