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- research-articleOctober 2024JUST ACCEPTED
Contrastive Learning based Speech Spoofing Detection for Multimedia Security in Edge Intelligence
- Jiaqi Sun,
- Xianjun Deng,
- Shenghao liu,
- Xiaoxuan Fan,
- Yongling Huang,
- Yuanyuan He,
- Celimuge Wu,
- Jong Hyuk Park
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Just Accepted https://doi.org/10.1145/3698773Artificial intelligence (AI) empowered edge computing has given rise to a new paradigm and effectively facilitated the promotion and development of multimedia applications. The speech assistant is one of the significant services provided by multimedia ...
- research-articleApril 2024JUST ACCEPTED
- research-articleApril 2024
Toward Robust and Generalizable Federated Graph Neural Networks for Decentralized Spatial-Temporal Data Modeling
IEEE Transactions on Network and Service Management (ITNSM), Volume 21, Issue 3Pages 2637–2650https://doi.org/10.1109/TNSM.2024.3386740Federated learning has been combined with graph learning for modeling spatial-temporal data while maintaining data confidentiality and safety. However, there are still several issues: 1) In practical usage, some clients may be unable to participate in the ...
- research-articleJune 2024
Meet in the air: Distributed neighbor discovery in 3D networks with directional transceivers
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 241, Issue Chttps://doi.org/10.1016/j.comnet.2024.110201AbstractWe formulate and analyze a generic neighbor discovery problem in three-dimensional wireless networks with directional transceivers, where any pair of neighbor nodes in 3D Euclidean space need to steer their transceivers towards each other ...
- research-articleFebruary 2024
Leveraging Geographic Information and Social Indicators for Misbehavior Detection in VANETs
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 4411–4424https://doi.org/10.1109/TCE.2024.3365616With the development of Vehicular Ad hoc Networks (VANETs), the security threats to the communication of VANETs are also increasing. Misbehaviors including fake messages attacks, characterized by messages containing misleading traffic information will ...
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- research-articleDecember 2023
Reputation Management for Consensus Mechanism in Vehicular Edge Metaverse
IEEE Journal on Selected Areas in Communications (JSAC), Volume 42, Issue 4Pages 919–932https://doi.org/10.1109/JSAC.2023.3345382Metaverse is a visually rich virtual space in which users can interact with each other. By introducing metaverse into vehicular networks, vehicular metaverse can provide users real-time immersive experiences based on augmented technologies. Vehicular edge ...
- research-articleDecember 2023
An Energy-Efficient Deep Mutual Learning System Based on D2D-U Communications
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 7Pages 7775–7786https://doi.org/10.1109/TWC.2023.3344637Deep mutual learning (DML) is one of the most high-profile technologies emerging in the field of machine learning during the past few years. DML has the potential of exchanging knowledge on the premise of ensuring data privacy, while retaining the ...
- research-articleDecember 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks
Proceedings of the ACM on Management of Data (PACMMOD), Volume 1, Issue 4Article No.: 237, Pages 1–25https://doi.org/10.1145/3626724Dynamic Graph Neural Network (DGNN) has shown a strong capability of learning dynamic graphs by exploiting both spatial and temporal features. Although DGNN has recently received considerable attention by AI community and various DGNN models have been ...
- research-articleOctober 2023
Exploiting Intelligent Reflecting Surfaces for Interference Channels With SWIPT
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 5Pages 4442–4458https://doi.org/10.1109/TWC.2023.3318795This paper considers intelligent reflecting surface (IRS)-aided simultaneous wireless information and power transfer (SWIPT) in a multi-user multiple-input single-output (MISO) interference channel (IFC), where multiple transmitters (Txs) serve their ...
- research-articleSeptember 2023
QoE Fairness Resource Allocation in Digital Twin-Enabled Wireless Virtual Reality Systems
IEEE Journal on Selected Areas in Communications (JSAC), Volume 41, Issue 11Pages 3355–3368https://doi.org/10.1109/JSAC.2023.3313195Wireless virtual reality (VR) is expected to be a technology that revolutionizes human interaction and perceived media, where the quality of experience (QoE) is an important indicator to measure user service perception. However, existing schemes only ...
- research-articleAugust 2023
Random Beam Switching: A Physical Layer Key Generation Approach to Safeguard mmWave Electronic Devices
IEEE Transactions on Consumer Electronics (ITOCE), Volume 69, Issue 3Pages 594–607https://doi.org/10.1109/TCE.2023.3273125Extracting secret keys from millimeter wave (mmWave) wireless channels fast and efficiently for securing communications between mmWave electronic devices is a challenge due to the limitations of static environments. In this paper, we propose a random beam ...
- research-articleJuly 2023
A Channel Perceiving-Based Handover Management in Space–Ground Integrated Information Network
IEEE Transactions on Network and Service Management (ITNSM), Volume 21, Issue 1Pages 882–896https://doi.org/10.1109/TNSM.2023.3297593Since the requirements of cross-domain/layer communications, the Space-ground Integrated Information Network (SIIN) becomes a strategic research area. To improve the service sustainability and reduce the latency of data transmission, literature works ...
- research-articleOctober 2023
Meta-Networking: Beyond the Shannon Limit with Multi-Faceted Information
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 37, Issue 4Pages 256–264https://doi.org/10.1109/MNET.013.2300115The conventional network infrastructure is struggling to keep up with the rapidly growing demands of modern society. The explosion of data, the increasing number of connected devices, and the growing reliance on real-time applications are all putting ...
- research-articleJanuary 2023
A Caching-Enabled Permissioned Blockchain Scheme for Industrial Internet of Things Based on Deep Reinforcement Learning
The integration of the industrial internet of things (IIoT) and blockchain has become a popular concept that provides IIoT with a trustworthy computing environment. Numerous IIoT nodes together form a decentralized network with rich location-aware ...
- short-paperNovember 2022
Learning to optimize computation offloading performance in multi-access wireless networks
AIIOT '22: Proceedings of the 1st Workshop on Digital Twin & Edge AI for Industrial IoTPages 19–24https://doi.org/10.1145/3566099.3569005In this paper, we investigate computation offloading in a multi-access wireless network, which supports both cellular and WiFi connectivity between a mobile user (MU) and the edge server. The MU decides to process an arrived computation task locally at ...
- research-articleOctober 2022
A communication-efficient distributed machine learning scheme in vehicular network
RACS '22: Proceedings of the Conference on Research in Adaptive and Convergent SystemsPages 92–98https://doi.org/10.1145/3538641.3561494For vehicular networks, while a federated learning (FL) approach can be effective in utilizing computing resources and data at vehicles, a large amount of communication resources are required to exchange learning model between vehicles and the central ...
- research-articleOctober 2022
On-device federated learning with fuzzy logic based client selection
RACS '22: Proceedings of the Conference on Research in Adaptive and Convergent SystemsPages 64–70https://doi.org/10.1145/3538641.3561490With the rapid development of IoT, more and more advanced sensor devices are used to collect and process a large number of datasets. In order to protect user privacy while training machine learning models with multiple datasets, federated learning (FL) ...
- research-articleAugust 2022
FedGraph: Federated Graph Learning With Intelligent Sampling
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 33, Issue 8Pages 1775–1786https://doi.org/10.1109/TPDS.2021.3125565Federated learning has attracted much research attention due to its privacy protection in distributed machine learning. However, existing work of federated learning mainly focuses on Convolutional Neural Network (CNN), which cannot efficiently handle ...
- research-articleJuly 2022
Unlicensed Assisted Ultra-Reliable and Low-Latency Communications
Mobile Networks and Applications (MNET), Volume 27, Issue 6Pages 2232–2243https://doi.org/10.1007/s11036-022-02003-8AbstractThe ultra-reliable and low-latency communication (URLLC) in the fifth generation (5G) communication has emerged many potential applications, which promotes the development of the internet of things (IoTs). In this paper, the URLLC system adopts ...