Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …
Things (IoT) applications and services, spanning from recommendation systems and speech …
Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
Generalizing AI: Challenges and opportunities for plug and play AI solutions
Artificial Intelligence (AI) has revolutionized today's Internet of Things (IoT) applications and
services by introducing significant technological enhancements across a multitude of …
services by introducing significant technological enhancements across a multitude of …
[图书][B] Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
A Kapoor - 2019 - books.google.com
Build smarter systems by combining artificial intelligence and the Internet of Things—two of
the most talked about topics today Key FeaturesLeverage the power of Python libraries such …
the most talked about topics today Key FeaturesLeverage the power of Python libraries such …
[PDF][PDF] EdgeAI: A vision for distributed, edge-native artificial intelligence in future 6G networks
Edge computing, a key part of the upcoming 5G mobile networks and future 6G
technologies, promises to distribute cloud applications while providing more bandwidth and …
technologies, promises to distribute cloud applications while providing more bandwidth and …
Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
AAIoT: Accelerating artificial intelligence in IoT systems
Existing deep learning systems in the Internet of Things (IoT) environments lack the ability of
assigning compute tasks reasonably which leads to resources wasting. In this letter, we …
assigning compute tasks reasonably which leads to resources wasting. In this letter, we …
Deep reinforcement learning for Internet of Things: A comprehensive survey
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …
communication, computing, caching and control (4Cs) problems. The recent advances in …
DeepWiERL: Bringing deep reinforcement learning to the internet of self-adaptive things
F Restuccia, T Melodia - IEEE INFOCOM 2020-IEEE …, 2020 - ieeexplore.ieee.org
Recent work has demonstrated that cutting-edge advances in deep reinforcement learning
(DRL) may be leveraged to empower wireless devices with the much-needed ability to" …
(DRL) may be leveraged to empower wireless devices with the much-needed ability to" …
Federated learning for internet of things
Federated learning can be a promising solution for enabling IoT cybersecurity (ie, anomaly
detection in the IoT environment) while preserving data privacy and mitigating the high …
detection in the IoT environment) while preserving data privacy and mitigating the high …