"A typical home or office automation system for lights or temperature control may involve cameras to monitor occupants and alter conditions on their behalf, which poses data privacy risks."
"Researchers developed a framework enabling AI devices to cooperate directly through decentralized communication, removing the need for centralized data retention and enhancing privacy."
Researchers at the University of Tokyo have introduced a groundbreaking framework for decentralized AI-driven building automation systems, prioritizing user privacy. This innovative approach facilitates direct cooperation between AI devices, such as cameras and interfaces, through a new device-to-device communication method. By removing centralized servers, the system mitigates risks associated with data breaches and secure data retention, a pressing concern in today's highly automated environments. The initiative aims to empower automated systems in homes, offices, and other settings while safeguarding individual privacy and security.
Read at ScienceDaily
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