FedRL: a reinforcement learning federated recommender system for efficient communication using reinforcement selector and hypernet generator
The field of recommender systems aims to predict users' latent interests by analyzing their
preferences and behaviors. However, privacy concerns about user data collection lead to …
preferences and behaviors. However, privacy concerns about user data collection lead to …
Tiny Machine Learning Zoo for Long-Term Compensation of Pressure Sensor Drifts
Pressure sensors embodied in very tiny packages are deployed in a wide range of
advanced applications. Examples of applications range from industrial to altitude location …
advanced applications. Examples of applications range from industrial to altitude location …
Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach
Energy consumption has become a critical design metric and a limiting factor in the
development of future computing architectures, from small wearable devices to large-scale …
development of future computing architectures, from small wearable devices to large-scale …