A study compared the performance of a melanoma-nevus classifier developed using classical centralized learning and a federated learning approach. The federated model showed comparable…
Browsing: Federated Learning
OctaiPipe, an Edge AI platform, has raised £3 million in funding and a £500,000 grant from Innovate UK. The platform aims to develop its…
OctaiPipe, an end-to-end Edge AI platform, has raised £3 million in pre-Series A funding and a £500,000 non-equity grant. The funding will allow OctaiPipe…
AI has the potential to benefit humanity in many ways, particularly in agriculture. Three promising developments in agricultural AI are federated learning, pest and…
This article discusses the potential of Vital-Signs-from-Video-based Physiological Measurement (VCPM) technology and its future directions. It is organized into four sections, with the first…
This article provides an overview of the job openings for artificial intelligence roles in Bengaluru. The roles require expertise in Machine Learning, Natural Language…
This Special Issue aims to collect novel ideas on exploiting the big data available in healthcare domains to develop more robust and responsive information…
This article discusses the use of artificial intelligence methods in practical IoT solutions. It examines the challenges associated with data analysis and understanding, the…
OctaiPipe has released version 2.0 of its Federated Learning Operations (FL-Ops) platform for Critical Infrastructure on-device AI. This platform allows data scientists to build…
OctaiPipe has released version 2.0 of its Federated Learning Operations platform for Critical Infrastructure on-device AI. This platform allows data scientists to build and…