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"An edge-aided parallel evolutionary privacy-preserving algorithm for I" by Akbar Telikani, Asadollah Shahbahrami et al.

Data sanitization in the context of Internet of Things (IoT) privacy refers to the process of permanently and irreversibly hiding all sensitive information from vast amounts of streaming data. Taking into account the dynamic and real-time characteristics of streaming IoT data, we propose a parallel evolutionary Privacy-Preserving Data Mining (PPDM), called High-performance Evolutionary Data Sanitization for IoT (HEDS4IoT), and implement two mechanisms on a Graphics Processing Units (GPU)-aided p...
Privacy Preserving Data Mining High Performance Evolutionary Data Sanitization Graphics Processing Units Parallel Indexing Engine Parallel Fitness Function Engine Big Data
Source: uow.edu.au

Japan leaning towards softer AI rules than EU: Source

TOKYO - Japan is leaning toward softer rules governing the use of Artificial Intelligence (AI) than the European Union (EU), said an official close to deliberations, as it looks to the technology to boost economic growth and make it a leader in advanced chips. The aim by year end is to work out an approach for AI that will likely...
Thierry Breton Yutaka Matsuo Japan Deep Learning Association University Of Tokyo Prof Masayoshi Son Softbank Group European Union

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