intelligence_src_7832fd302ddcf52920
- Source-provided label
- Publisher RSS metadata
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Oct 08, 2024 12:00 UTC
- Retrieved
- Oct 14, 2026 11:44 UTC
This post is part of a series on privacy-preserving federated learning. The series is a collaboration between NIST and the UK government’s Responsible Technology Adoption Unit (RTA), previously known as the Centre for Data Ethics and Innovation. Learn more and read all the posts published to date at NIST’s Privacy Engineering Collaboration Space or RTA’s blog . Introduction In this post, we talk with Dr. Xiaowei Huang and Dr. Yi Dong (University of Liverpool), Dr. Mat Weldon (UK Office of National Statistics (ONS)), and Sikha Pentyala (University of Washington Tacoma), who were winners in the
b82a493230329fcf5b6df25a7db277bde9232c1884efef824fdf8889bf76218fNetwork indicators are visibly defanged. This page does not make them clickable or send them to another service.
No validated file hashes or network indicators are stored for this record.
This record contains metadata and attribution only. It does not host, download, unpack, render, or execute malware samples.
Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.
1 sources: 0 stale, 0 needing attention, 0 paused, 0 unverified.
Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.