Aug. 9, 2023, 1:10 a.m. | Neophytos Charalambides, Hessam Mahdavifar, Mert Pilanci, Alfred O. Hero III

cs.CR updates on arXiv.org arxiv.org

In this work, we propose methods for speeding up linear regression
distributively, while ensuring security. We leverage randomized sketching
techniques, and improve straggler resilience in asynchronous systems.
Specifically, we apply a random orthonormal matrix and then subsample
\textit{blocks}, to simultaneously secure the information and reduce the
dimension of the regression problem. In our setup, the transformation
corresponds to an encoded encryption in an \textit{approximate gradient coding
scheme}, and the subsampling corresponds to the responses of the non-straggling
workers; in a …

asynchronous information linear matrix problem random resilience security systems techniques work

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Principal Security Analyst - Threat Labs (Position located in India) (Remote)

@ KnowBe4, Inc. | Kochi, India

Cyber Security - Cloud Security and Security Architecture - Manager - Multiple Positions - 1500860

@ EY | Dallas, TX, US, 75219

Enterprise Security Architect (Intermediate)

@ Federal Reserve System | Remote - Virginia

Engineering -- Tech Risk -- Global Cyber Defense & Intelligence -- Associate -- Dallas

@ Goldman Sachs | Dallas, Texas, United States

Vulnerability Management Team Lead - North Central region (Remote)

@ GuidePoint Security LLC | Remote in the United States