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An advanced data fabric architecture leveraging homomorphic encryption and federated learning
In a Federated learning architecture, the global model is trained based on the learned parameters of several local models that eliminate the necessity of moving data to a centralized repository for machine learning.
Human Behavior-based Personalized Meal Recommendation and Menu Planning Social System
In addition to the meal recommendation, an automated menu planning approach is also proposed considering a person's energy intake requirement, affectivity, and nutritional values of the different menus.
FallDeF5: A Fall Detection Framework Using 5G-based Deep Gated Recurrent Unit Networks
Edge computing can reduce the cost of cloud communication, including high latency and bandwidth use, by moving conventional healthcare services and applications closer to end-users.
AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework
First, the wide collection of data in the close-loop information flow of user and remote medical data center is discussed.
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