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08/12/2023
Integrated Sensing-Communication-Computation for Over-the-Air Edge AI Inference
Edge-device co-inference refers to deploying well-trained artificial int...
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06/01/2023
Integrated Sensing-Communication-Computation for Edge Artificial Intelligence
Edge artificial intelligence (AI) has been a promising solution towards ...
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03/20/2023
Task-Oriented Communications for 6G: Vision, Principles, and Technologies
Driven by the interplay among artificial intelligence, digital twin, and...
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11/02/2022
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI
Departing from the classic paradigm of data-centric designs, the 6G netw...
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07/03/2022
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI
This paper studies a new multi-device edge artificial-intelligent (AI) s...
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10/01/2021
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
In 1940s, Claude Shannon developed the information theory focusing on qu...
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09/30/2021
Federated Dropout – A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Federated learning (FL) is a popular framework for training an AI model ...
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10/08/2020
Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels
A main edge learning paradigm, called partitioned edge learning (PARTEL)...
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04/01/2020
Scheduling in Cellular Federated Edge Learning with Importance and Channel Awareness
In cellular federated edge learning (FEEL), multiple edge devices holdin...
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03/10/2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning
To leverage data and computation capabilities of mobile devices, machine...
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11/10/2019
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning
The 5G network connecting billions of IoT devices will make it possible ...
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12/06/2018