NSTL国家科技图书文献中心

1. Maximizing Uncertainty for Federated Learning via Bayesian Optimization-Based Model Poisoning NSTL国家科技图书文献中心

Marios Aristodemou | Xiaolan Liu ... - 《IEEE transactions on information forensics and security》 - 2025,20 - 2399～2411 - 共13页

摘要：As we transition from Narrow Artificial Intelligence towards Artificial Super Intelligence, users are increasingly concerned about their privacy and the trustworthiness of machine learning (ML) techno...

关键词： Data models | Uncertainty | Mathematical models | Predictive models | Neurons | Analytical models | Optimization | Numerical models | Computational modeling | Training

2. Bayesian Optimisation-Driven Poisoning Attack Against Personalised Federated Learning in Metaverse NSTL国家科技图书文献中心

Marios Aristodemou | Xiaolan Liu ... - 《2024 IEEE International Conference on Communications Workshops: IEEE International Conference on Communications Workshops (ICC Workshops), 9-13 June 2024, Denver, CO, USA》 - IEEE International Conference on Communications Workshops - 2024, - 1980～1985 - 共6页

摘要：Metaverse is envisioned to be a human-centric framework that aims to provide a comprehensive and immersive experience for users in various domains, including education, medicine, and entertainment. As...

关键词： Uncertainty | Toxicology | Federated learning | Metaverse | Conferences | Search problems | Numerical models

3. Tackling Delayed CSI in a Distributed Multi-Satellite MIMO Communication System NSTL国家科技图书文献中心

Yasaman Omid | Sangarapillai Lambot...... - 《2024 19th International Symposium on Wireless Communication Systems》 - International Symposium on Wireless Communication Systems - 2024, - 1～6 - 共6页

摘要：In this study, we explore the integration of satellites with ground-based communication networks. Specifically, we analyze downlink data transmission from a constellation of satellites to terrestrial ...

关键词： Wireless communication | Satellite antennas | Satellites | Uncertainty | Precoding | Low earth orbit satellites | Terrestrial communications

4. Constrained Risk-Sensitive Deep Reinforcement Learning for eMBB-URLLC Joint Scheduling NSTL国家科技图书文献中心

Wenheng Zhang | Mahsa Derakhshani ... - 《IEEE transactions on wireless communications》 - 2024,23(9 Pt.1) - 10608～10624 - 共17页

摘要：In this work, we employ a constrained risk-sensitive deep reinforcement learning (CRS-DRL) approach for joint scheduling in a dynamic multiplexing scenario involving enhanced mobile broadband (eMBB) a...

关键词： Ultra reliable low latency communication | Resource management | Reliability | Dynamic scheduling | Wireless communication | Optimization | Uncertainty

5. Federated Learning Enabled Link Scheduling in D2D Wireless Networks NSTL国家科技图书文献中心

Tianrui Chen | Xinruo Zhang ... - 《IEEE wireless communications letters》 - 2024,13(1) - 89～92 - 共4页 - 被引量：2

摘要：Centralized machine learning methods for device-to-device (D2D) link scheduling may lead to a computing burden for a central server, transmission latency for decisions, and privacy issues for D2D comm...

关键词： Device-to-device communication | Training | Servers | Wireless networks | Scheduling | Computational modeling | Federated learning

6. Kalman Filter Based Channel Tracking for RIS-Assisted Multi-User Networks NSTL国家科技图书文献中心

Danyang Yu | Gan Zheng ... - 《IEEE transactions on wireless communications》 - 2024,23(4) - 3856～3869 - 共14页

摘要：In this paper, we investigate channel estimation in a reconfigurable intelligent surface (RIS) assisted multi-user network while taking the mobility of users into consideration. Based on a time-varyin...

关键词： Channel estimation | Estimation | Discrete Fourier transforms | Wireless communication | Hardware | Transceivers | Rician channels

7. Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming EI 工程索引 NSTL国家科技图书文献中心

Xingchi Liu | Mahsa Derakhshani ... - 《IEEE Journal on Selected Areas in Communications》 - 2023,41(3) - 740～754 - 共15页 - 被引量：4

摘要：This paper proposes an edge-assisted crowdsourced live video transcoding approach where the transcoding capabilities of the edge transcoders are unknown and dynamic. The resilience and trustworthiness...

关键词： Transcoding | Task analysis | Cloud computing | Streaming media | Costs | Performance evaluation | Quality of experience

8. Adversarial Poisoning Attacks on Federated Learning in Metaverse NSTL国家科技图书文献中心

Marios Aristodemou | Xiaolan Liu ... - 《ICC 2023 - IEEE International Conference on Communications: Rome, Italy, 28 May - 1 June 2023, [v.2]》 - IEEE International Conference on Communications - 2023, - 6312～6317 - 共6页

摘要：Metaverse is envisioned to be a human-centric framework, and provide a new concept of living by offering comprehensively immersive experience for users in education, medicine and entertainment domain....

关键词： Training | Privacy | Uncertainty | Metaverse | Federated learning | Immersive experience | Bayes methods

9. Efficient Wireless Federated Learning with Adaptive Model Pruning NSTL国家科技图书文献中心

Zhixiong Chen | Wenqiang Yi ... - 《2023 IEEE Global Communications Conference: GLOBECOM 2023, Kuala Lumpur, Malaysia, 4-8 December 2023, [v.1]》 - IEEE Global Communications Conference - 2023, - 7592～7597 - 共6页

摘要：For wireless federated learning (FL), this work proposes an adaptive model pruning-based FL (AMP-FL) frame-work, where the edge server dynamically generates sub-models by pruning the global model to a...

关键词： Adaptation models | Federated learning | Computational modeling | Simulation | Benchmark testing | Resource management | Convergence

10. Bayesian Optimization of Queuing-Based Multichannel URLLC Scheduling EI 工程索引 NSTL国家科技图书文献中心

Wenheng Zhang | Mahsa Derakhshani ... - 《IEEE transactions on wireless communications》 - 2023,22(3) - 1763～1778 - 共16页 - 被引量：5

摘要：This paper studies the allocation of shared resources between ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) in the emerging 5G and beyond cellular networks. In ...

摘要：As we transition from Narrow Artificial Intelligence towards Artificial Super Intelligence, users are increasingly concerned about their privacy and the trustworthiness of machine learning (ML) techno...

关键词： Data models | Uncertainty | Mathematical models | Predictive models | Neurons | Analytical models | Optimization | Numerical models | Computational modeling | Training

摘要：Metaverse is envisioned to be a human-centric framework that aims to provide a comprehensive and immersive experience for users in various domains, including education, medicine, and entertainment. As...

关键词： Uncertainty | Toxicology | Federated learning | Metaverse | Conferences | Search problems | Numerical models

摘要：In this study, we explore the integration of satellites with ground-based communication networks. Specifically, we analyze downlink data transmission from a constellation of satellites to terrestrial ...

关键词： Wireless communication | Satellite antennas | Satellites | Uncertainty | Precoding | Low earth orbit satellites | Terrestrial communications

摘要：In this work, we employ a constrained risk-sensitive deep reinforcement learning (CRS-DRL) approach for joint scheduling in a dynamic multiplexing scenario involving enhanced mobile broadband (eMBB) a...

关键词： Ultra reliable low latency communication | Resource management | Reliability | Dynamic scheduling | Wireless communication | Optimization | Uncertainty

摘要：Centralized machine learning methods for device-to-device (D2D) link scheduling may lead to a computing burden for a central server, transmission latency for decisions, and privacy issues for D2D comm...

关键词： Device-to-device communication | Training | Servers | Wireless networks | Scheduling | Computational modeling | Federated learning

摘要：In this paper, we investigate channel estimation in a reconfigurable intelligent surface (RIS) assisted multi-user network while taking the mobility of users into consideration. Based on a time-varyin...

关键词： Channel estimation | Estimation | Discrete Fourier transforms | Wireless communication | Hardware | Transceivers | Rician channels

摘要：This paper proposes an edge-assisted crowdsourced live video transcoding approach where the transcoding capabilities of the edge transcoders are unknown and dynamic. The resilience and trustworthiness...

关键词： Transcoding | Task analysis | Cloud computing | Streaming media | Costs | Performance evaluation | Quality of experience

摘要：Metaverse is envisioned to be a human-centric framework, and provide a new concept of living by offering comprehensively immersive experience for users in education, medicine and entertainment domain....

关键词： Training | Privacy | Uncertainty | Metaverse | Federated learning | Immersive experience | Bayes methods

摘要：For wireless federated learning (FL), this work proposes an adaptive model pruning-based FL (AMP-FL) frame-work, where the edge server dynamically generates sub-models by pruning the global model to a...

关键词： Adaptation models | Federated learning | Computational modeling | Simulation | Benchmark testing | Resource management | Convergence

摘要：This paper studies the allocation of shared resources between ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) in the emerging 5G and beyond cellular networks. In ...

关键词： Ultra reliable low latency communication | Optimization | Reliability | Throughput | Resource management | Queueing analysis | Linear programming

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