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08/08/2023
The Model Inversion Eavesdropping Attack in Semantic Communication Systems
In recent years, semantic communication has been a popular research topi...
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06/04/2023
Information-Theoretic Limits on Compression of Semantic Information
As conventional communication systems based on classic information theor...
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05/12/2023
Semantic-aware Digital Twin for Metaverse: A Comprehensive Review
To facilitate the deployment of digital twins in Metaverse, the paradigm...
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02/06/2023
Cooperative Task-Oriented Communication for Multi-Modal Data with Transmission Control
Real-time intelligence applications in Internet of Things (IoT) environm...
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11/21/2022
Resource Allocation for Capacity Optimization in Joint Source-Channel Coding Systems
Benefited from the advances of deep learning (DL) techniques, deep joint...
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05/27/2022
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
In an asynchronous federated learning framework, the server updates the ...
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05/25/2022
Semantic-preserved Communication System for Highly Efficient Speech Transmission
Deep learning (DL) based semantic communication methods have been explor...
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05/10/2022
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt
Chronological age of healthy brain is able to be predicted using deep ne...
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02/08/2022
Wireless Transmission of Images With The Assistance of Multi-level Semantic Information
Semantic-oriented communication has been considered as a promising to bo...
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02/07/2022
Semantic-aware Speech to Text Transmission with Redundancy Removal
Deep learning (DL) based semantic communication methods have been explor...
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11/16/2021
JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks
The main challenge to deploy deep neural network (DNN) over a mobile edg...
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10/06/2021
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices
With the increased penetration and proliferation of Internet of Things (...
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10/05/2021
Communication-Efficient Federated Learning with Binary Neural Networks
Federated learning (FL) is a privacy-preserving machine learning setting...
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02/22/2021
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection
The novel 2019 Coronavirus (COVID-19) infection has spread world widely ...
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03/07/2020
Distributed Deep Convolutional Compression for Massive MIMO CSI Feedback
Massive multiple-input multiple-output (MIMO) systems require downlink c...
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10/23/2019
CNN-based Analog CSI Feedback in FDD MIMO-OFDM Systems
Massive multiple-input multiple-output (MIMO) systems require downlink c...
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07/02/2019
Deep Convolutional Compression for Massive MIMO CSI Feedback
Coded caching provides significant gains over conventional uncoded cachi...
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06/21/2019
Centralized Caching and Delivery of Correlated Contents over Gaussian Broadcast Channels
Content delivery in a multi-user cache-aided broadcast network is studie...
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08/14/2018
Audience-Retention-Rate-Aware Caching and Coded Video Delivery with Asynchronous Demands
Most results on coded caching focus on a static scenario, in which a fix...
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04/26/2018
Centralized Caching and Delivery of Correlated Contents over a Gaussian Broadcast Channel
Content delivery in a multi-user cache-aided broadcast network is studie...
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11/14/2017
