On-device intelligence (ODI) is an emerging technology that combines mobile computing and AI, enabling real-time, customized services without network reliance. Researchers have proposed methods…
Browsing: Federated Learning
This article discusses the emerging field of quantum artificial intelligence (QAI) and its potential to combine quantum information technology with classical artificial intelligence (CAI).…
This article discusses the use of deep learning models in multisource remote sensing data fusion and classification. It highlights the challenges faced by traditional…
This article discusses the emerging research direction of Edge Intelligence (EI) and its integration with the Internet of Things (IoT). It also highlights the…
A study by Juniper Research predicts a surge in cellular IoT devices, which will require the deployment of new services to efficiently manage and…
The article discusses the importance of intelligent infrastructure management solutions in handling the increasing amount of cellular data generated by IoT devices. It also…
A new study by Juniper Research predicts a 90% growth in cellular IoT devices by 2028, leading to a need for intelligent infrastructure management…
This article explores the future of deep learning and its impact on the field of artificial intelligence. It discusses the exponential growth in model…
Deep learning is a rapidly evolving subset of AI that is driving technological advancements and shaping the future of machine perception and analysis. This…
This article discusses the potential for using federated learning (FL) and distributed learning (DL) techniques in the Internet of Things (IoT) to address challenges…