April 22, 2024, 4:11 a.m. | Zibo Wang, Haichao Ji, Yifei Zhu, Dan Wang, Zhu Han

cs.CR updates on arXiv.org arxiv.org

arXiv:2404.12666v1 Announce Type: cross
Abstract: The escalating influx of data generated by networked edge devices, coupled with the growing awareness of data privacy, has promoted a transformative shift in computing paradigms from centralized data processing to privacy-preserved distributed data processing. Federated analytics (FA) is an emerging technique to support collaborative data analytics among diverse data owners without centralizing the raw data. Despite the wide applications of FA in industry and academia, a comprehensive examination of existing research efforts in FA …

analytics applications arxiv awareness centralized data computing cs.cr cs.dc cs.et data data privacy data processing devices distributed edge edge devices emerging federated federated analytics generated privacy survey techniques

Senior Security Engineer - Detection and Response

@ Fastly, Inc. | US (Remote)

Application Security Engineer

@ Solidigm | Zapopan, Mexico

Defensive Cyber Operations Engineer-Mid

@ ISYS Technologies | Aurora, CO, United States

Manager, Information Security GRC

@ OneTrust | Atlanta, Georgia

Senior Information Security Analyst | IAM

@ EBANX | Curitiba or São Paulo

Senior Information Security Engineer, Cloud Vulnerability Research

@ Google | New York City, USA; New York, USA