6 citations · 7 across the 4 of their papers we have counts for
4 papers
Scaled-Time-Attention Robust Edge Network
Richard Lau, Lihan Yao, Todd Huster +6
This paper describes a systematic approach towards building a new family of neural networks based on a delay-loop version of a reservoir neural network. The resulting architecture,…
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…
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…
Deep Delay Loop Reservoir Computing for Specific Emitter Identification
Silvija Kokalj-Filipovic, Paul Toliver, William Johnson +2
Current AI systems at the tactical edge lack the computational resources to support in-situ training and inference for situational awareness, and it is not always practical to leve…