24 citations · 35 across the 8 of their papers we have counts for
3 papers · 1 filter
Reservoir Based Edge Training on RF Data To Deliver Intelligent and Efficient IoT Spectrum Sensors
Silvija Kokalj-Filipovic, Paul Toliver, William Johnson +1
Current radio frequency (RF) sensors at the Edge lack the computational resources to support practical, in-situ training for intelligent spectrum monitoring, and sensor data classi…
Practical Fingerprinting of RF Devices in the Wild
Silvija Kokalj-Filipovic, Luke Boegner, Robert D. Miller
We present a new RF fingerprinting technique for wireless emitters that is based on a simple, easily and efficiently retrainable Ridge Regression (RR) classifier. The RR learns to…
Reservoir-Based Distributed Machine Learning for Edge Operation
Silvija Kokalj-Filipovic, Paul Toliver, William Johnson +1
We introduce a novel design for in-situ training of machine learning algorithms built into smart sensors, and illustrate distributed training scenarios using radio frequency (RF) s…