تصفح حسب الموضوع "federated learning"
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Crowd Density Estimation using Imperfect Labels
( IEEE , 2023 , Conference Paper)Density estimation is one of the most widely used method for crowd counting in which a deep learning model learns from head annotated crowd images to estimate crowd density in unseen images. Typically, the learning performance ... -
Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications
( IEEE Internet of Things Journal , 2021 , Article)As stated by Spock, 'change is the essential process of all existence,' which is reflected in everyday applications in our daily lives. We, as humans, just need to find a way to make the best use of the current technological ... -
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics ... -
Privacy-preserving federated learning cyber-threat detection for intelligent transport systems with blockchain-based security
( John Wiley and Sons Inc , 2022 , Article)Artificial intelligence (AI) techniques implemented at a large scale in intelligent transport systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making independent decisions about cyber threats, ...