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Found 3 papers, 0 papers with code
Sustainable Edge Intelligence Through Energy-Aware Early Exiting
However, due to their computational complexity, DL models consume significant amounts of energy, which can rapidly drain the battery and compromise the performance of IoT devices.
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices
Our framework is also generalisable, adapting to new sensor streams and environments with minimal online reconfiguration.
Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation
In a fully autonomous driving framework, where vehicles operate without human intervention, information sharing plays a fundamental role.
Autonomous Driving
Quantization
Networking and Internet Architecture
