[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …
Resource management in mobile edge computing: a comprehensive survey
With the evolution of 5G and Internet of Things technologies, Mobile Edge Computing (MEC)
has emerged as a major computing paradigm. Compared to cloud computing, MEC …
has emerged as a major computing paradigm. Compared to cloud computing, MEC …
Band: coordinated multi-dnn inference on heterogeneous mobile processors
The rapid development of deep learning algorithms, as well as innovative hardware
advancements, encourages multi-DNN workloads such as augmented reality applications …
advancements, encourages multi-DNN workloads such as augmented reality applications …
Blockchain-based collaborative edge intelligence for trustworthy and real-time video surveillance
Trustworthy and real-time video surveillance aims to analyze the live camera streams in a
privacy-preserving manner for the decision-making of various advanced services, such as …
privacy-preserving manner for the decision-making of various advanced services, such as …
Edge-assisted on-device model update for video analytics in adverse environments
Y Kong, P Yang, Y Cheng - Proceedings of the 31st ACM International …, 2023 - dl.acm.org
While large deep neural networks excel at general video analytics tasks, the significant
demand on computing capacity makes them infeasible for real-time inference on resource …
demand on computing capacity makes them infeasible for real-time inference on resource …
Gemel: Model Merging for {Memory-Efficient},{Real-Time} Video Analytics at the Edge
Video analytics pipelines have steadily shifted to edge deployments to reduce bandwidth
overheads and privacy violations, but in doing so, face an ever-growing resource tension …
overheads and privacy violations, but in doing so, face an ever-growing resource tension …
Indepth: Real-time depth inpainting for mobile augmented reality
Mobile Augmented Reality (AR) demands realistic rendering of virtual content that
seamlessly blends into the physical environment. For this reason, AR headsets and recent …
seamlessly blends into the physical environment. For this reason, AR headsets and recent …
Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …
and industry, captivating minds with its transformative potential. Deep learning techniques …
Artificial intelligence of things: A survey
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
Cross-camera inference on the constrained edge
The proliferation of edge devices has pushed computing from the cloud to the data sources,
and video analytics is among the most promising applications of edge computing. Running …
and video analytics is among the most promising applications of edge computing. Running …