Energy Efficient Deep-Edge Computing through Hardware Machine Learning
Author:
Affiliation:
1. Hellenic Mediterranean University,Dept. of Electrical and Computer Engineering,Iraklio,Greece
2. ST Microelectronics,Grenoble,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10539362/10539375/10539522.pdf?arnumber=10539522
Reference35 articles.
1. In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
2. Hardware-Assisted Machine Learning in Resource-Constrained IoT Environments for Security: Review and Future Prospective
3. Edge computing for Internet of Things: A survey, e-healthcare case study and future direction
4. Automation for industry 4.0 by using secure LoraWAN edge gateways;Coppola;Multi-Processor System-on-Chip,2021
5. Automotive Virtual In-sensor Analytics for Securing Vehicular Communication
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