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Meta-Generalization for Multiparty Privacy Learning to Identify Anomaly Multimedia Traffic in Graynet. (arXiv:2201.03027v2 [cs.CR] UPDATED)
Dec. 15, 2022, 2:17 a.m. | Satoshi Nato, Yiqiang Sheng
cs.CR updates on arXiv.org arxiv.org
Identifying anomaly multimedia traffic in cyberspace is a big challenge in
distributed service systems, multiple generation networks and future internet
of everything. This letter explores meta-generalization for a multiparty
privacy learning model in graynet to improve the performance of anomaly
multimedia traffic identification. The multiparty privacy learning model in
graynet is a globally shared model that is partitioned, distributed and trained
by exchanging multiparty parameters updates with preserving private data. The
meta-generalization refers to discovering the inherent attributes of a …
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