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Found 5 papers, 0 papers with code
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks
Federated learning is a promising technique for effectively training GAI models in mobile edge networks due to its data distribution.
Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses
In this article, we propose a hierarchical SemCom-enabled vehicular metaverses framework consisting of the global metaverse, local metaverses, SemCom module, and resource pool.
Resilient Path Planning of UAVs against Covert Attacks on UWB Sensors
The UAV is equipped with two sensors, a GPS sensor, which is vulnerable to the spoofing attacker, and a well-functioning Ultra-Wideband (UWB) sensor, which is possible to be fooled.
Robotics
Long Short-Term Memory Neuron Equalizer
In this work we propose a neuromorphic hardware based signal equalizer by based on the deep learning implementation.
Machine Learning for high speed channel optimization
Design of printed circuit board (PCB) stack-up requires the consideration of characteristic impedance, insertion loss and crosstalk.
