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Found 4 papers, 2 papers with code
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection
Using Wake Vision for training results in a 2. 41\% increase in accuracy compared to the established benchmark.
A Centralized Reinforcement Learning Framework for Adaptive Clustering with Low Control Overhead in IoT Networks
Wireless Sensor Networks (WSNs) play a pivotal role in enabling Internet of Things (IoT) devices with sensing and actuation capabilities.
Data Aware Neural Architecture Search
However, in the case of resource constrained Machine Learning, one single metric is not enough to evaluate a NN architecture.
Robustness analytics to data heterogeneity in edge computing
Second, we study a classifier aggregated from a collection of local classifiers trained by data through active sampling at the edge.
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