Deep over-the-air computation
WebAug 24, 2024 · Over-the-air (OtA) computation is a newly emerged concept for achieving resource-efficient data aggregation over a large number of wireless nodes. Current … WebCurrently, he is an Associate Professor at Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences. Shuai works on unmanned autonomous systems, with an emphasis on leveraging machine learning, optimization, and virtual-reality integration to advance the efficiency and robusness of
Deep over-the-air computation
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WebOct 19, 2024 · Over-the-Air Computation: Foundations, Technologies, and Applications. The rapid advancement of artificial intelligence technologies has given rise to diversified … WebIn this paper, a framework on deep learning enabled over-the-air computation is proposed, where both the pre-processing and post-processing functions are represented by deep …
WebMar 1, 2024 · Over-the-air computation (AirComp) is a known technique in which wireless devices transmit values by analog amplitude modulation so that a function of these values is computed over the communication channel at a common receiver. WebIn a general wireless sensor network, a sink node collects data from each node successively and then post-processes the data to obtain useful information. However, conventional methods have a scalability problem: the data collection/processing time increases with the number of nodes, and frequent transmission collisions degrade spectrum efficiency. If …
WebDec 1, 2024 · Over-the-air computation (AirComp) is capable of computing while transmitting data by allowing multiple devices to send data simultaneously by using … WebA framework on deep learning enabled over-the-air computation is proposed, where both the pre-processing and post-processing functions are represented by deep neural networks (DNNs), which can approximate any function via learning through the data. As an efficient data fusion method, over-the-air computation integrates computation and …
WebApr 14, 2024 · Mobile edge computing (MEC) provides an effective solution to help the Internet of Things (IoT) devices with delay-sensitive and computation-intensive tasks by offering computing capabilities in the proximity of mobile device users. Most of the existing studies ignore context information of the application, requests, sensors, resources, and …
WebApr 29, 2024 · To enhance the performance for over-the-air computation by controlling the signal propagation environment, we shall propose to deploy an intelligent reflecting surface (IRS) on a surrounding wall, … canon g4210 print head cleaningWebIn a general wireless sensor network, a sink node collects data from each node successively and then post-processes the data to obtain useful information. However, conventional … canon g5020 printheadWebA Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, and Erfan Yazdandoost Hamedani AISTATS 2024 Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation System flags gif animatedWebApr 29, 2024 · Over-the-air computation (AirComp) becomes a promising approach for fast wireless data aggregation via exploiting the superposition property in a multiple access … flags golf ballWebDec 7, 2024 · In this way, the over-the-air computation can approximate any function via learning through the data. The deep over-the-air framework is useful to a variety of … canon g4511 printer inkWebaggregates (sum and average) the locally-trained deep neural network models over the wireless channel. Since large numbers of model parameters are transmitted in the model aggregation step, communication efficiency has be-come a bottleneck that restricts the development of FEEL [1]. Over-the-air computation (AirComp) has been proposed to ad- flags gold coastWebFeb 14, 2024 · The rapid development of machine learning and wireless communication is creating a new paradigm for future networks, namely edge-intelligent networks. Specifically, data generated by terminal devices is processed via machine learning at the edge of wireless networks, but not at the cloud. canon g5 x test