About: Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
Creator	Chen, Wei Yang, Kai Zhou, Yong Fu, Liqun Shi, Yuanming Yang, Zhanpeng
Source	ArXiv
abstract	Intelligent Internet-of-Things (IoT) will be transformative with the advancement of artificial intelligence and high-dimensional data analysis, shifting from%22connected things%22to%22connected intelligence%22. This shall unleash the full potential of intelligent IoT in a plethora of exciting applications, such as self-driving cars, unmanned aerial vehicles, healthcare, robotics, and supply chain finance. These applications drive the need of developing revolutionary computation, communication and artificial intelligence technologies that can make low-latency decisions with massive real-time data. To this end, federated machine learning, as a disruptive technology, is emerged to distill intelligence from the data at network edge, while guaranteeing device privacy and data security. However, the limited communication bandwidth is a key bottleneck of model aggregation for federated machine learning over radio channels. In this article, we shall develop an over-the-air computation based communication-efficient federated machine learning framework for intelligent IoT networks via exploiting the waveform superposition property of a multi-access channel. Reconfigurable intelligent surface is further leveraged to reduce the model aggregation error via enhancing the signal strength by reconfiguring the wireless propagation environments.
has issue date	2020-04-13(xsd:dateTime)
has license	arxiv
sha1sum (hex)	29105102da47ad186745938870bd998f3ae8df94
resource representing a document's title	Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
resource representing a document's body	covid:29105102da47ad186745938870bd998f3ae8df94#body_text
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