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SAFEMYRIDES: Application of Decentralized Control Edge-Computing to Ridesharing Monitoring Services. (arXiv:2301.00888v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Edge computing is changing the face of many industries and services. Common
edge computing models offload computing which is prone to security risks and
privacy violation. However, advances in deep learning enabled Internet of
Things (IoTs) to take decisions and run cognitive tasks locally. This research
introduces a decentralized-control edge model where most computation and
decisions are moved to the IoT level. The model aims at decreasing
communication to the edge which in return enhances efficiency and decreases
latency. The …
application changing computing control decentralized deep learning edge edge computing internet internet of things locally monitoring privacy privacy violation research risks run security security risks services things