Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning

27 July 2021

Papers citing "Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning"

6 / 6 papers shown

Title
Edge Private Graph Neural Networks with Singular Value Perturbation Tingting Tang Yue Niu A. Avestimehr Murali Annavaram AAML 24 1 0 16 Mar 2024
Interactive Byzantine-Resilient Gradient Coding for General Data Assignments Shreyas Jain Luis Maßny Christoph Hofmeister Eitan Yaakobi Rawad Bitar 13 0 0 30 Jan 2024
Probabilistic Group Testing in Distributed Computing with Attacked Workers Sarthak Jain Martina Cardone S. Mohajer 14 0 0 11 May 2023
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems M. Soleymani Ramy E. Ali Hessam Mahdavifar A. Avestimehr 48 5 0 20 Sep 2021
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier M. Soleymani Ramy E. Ali Hessam Mahdavifar A. Avestimehr 26 22 0 27 Jan 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018