[HTML][HTML] Deep generative models for detector signature simulation: A taxonomic review

B Hashemi, C Krause - Reviews in Physics, 2024 - Elsevier
In modern collider experiments, the quest to explore fundamental interactions between
elementary particles has reached unparalleled levels of precision. Signatures from particle …

Deep Generative Models for Detector Signature Simulation: An Analytical Taxonomy

H Hashemi, C Krause - arXiv preprint arXiv:2312.09597, 2023 - arxiv.org
In modern collider experiments, the quest to explore fundamental interactions between
elementary particles has reached unparalleled levels of precision. Signatures from particle …

Secure and Scalable Blockchain-based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review

AA Ahmed, O Alabi - IEEE Access, 2024 - ieeexplore.ieee.org
With the wide adoption of cryptocurrency, blockchain technologies have become the
foundation of such digital currencies. However, this adoption has been accompanied by a …

A Multivocal Literature Review on Privacy and Fairness in Federated Learning

B Balbierer, L Heinlein, D Zipperling, N Kühl - arXiv preprint arXiv …, 2024 - arxiv.org
Federated Learning presents a way to revolutionize AI applications by eliminating the
necessity for data sharing. Yet, research has shown that information can still be extracted …

基于移动边缘计算的空天地一体化网络架构

吴健, 贾敏, 郭庆 - 天地一体化信息网络, 2024 - infocomm-journal.com
下一代无线通信技术将通过支持智能交通, 智能医疗, 虚拟现实/增强等服务来提高用户的体验
质量. 这些新兴的服务通常都是计算密集型和时延敏感型的, 必须满足严格的时延 …

Enhancing Security and Efficiency: A Lightweight Federated Learning Approach

C Chen, KIK Wang, P Li, K Sakurai - International Conference on …, 2024 - Springer
Recently, as big data and AI technology advance, data privacy and security are increasingly
critical. Federated Learning (FL) has become a key solution in machine learning to address …

Recent Applications on Federated Learning

M Spoorthi, HL Gururaj - … Learning Techniques and Its Application in …, 2024 - World Scientific
In recent years, federated learning (FL), an emerging paradigm in the field of machine
learning (ML), has attracted a lot of interest and acceptance. This Chapter offers a thorough …

Federated learning-based detection and control mechanism of in-car navigation safety system

J Gao, S Zhang, W Lu - 2023 - researchsquare.com
The advancement of in-car navigation systems has dramatically improved driving
experiences. However, ensuring the safety of these systems remains a critical concern …