Resource-Efficient Sensor Fusion at the Edge via System-wide Dynamic Gated Neural Networks

• Published in: IEEE transactions on mobile computing Vol. In Press; pp. 1 - 15
• Main Authors: Singhal, Chetna, Wu, Yashuo, Malandrino, Francesco, Contreras, Sharon G. L., Levorato, Marco, Chiasserini, Carla Fabiana
• Format: Magazine Article
• Language: English
• Published: IEEE 2025
• Subjects: Artificial neural networks; Computational modeling; Computer architecture; Dynamic deep neural networks; Energy efficiency; Inference in the mobile-edge continuum; Logic gates; Mobile nodes; Network support to machine learning; Optimization; Sensor fusion; Servers; Soft sensors; Telecommunication network management

Next-generation mobile systems will support multiple AI-based applications, each leveraging heterogeneous sensors and data sources through deep neural network (DNN) architectures collaboratively executed within the network. In this context, to minimize the cost of the AI inference task subject to re...