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Communication-Efficient Decentralized Multi-agent Machine Learning Method
Background
In decentralized machine learning systems, agents often have varying computational and communication resources, leading to straggler problems and inefficient training. Existing federated learning methods typically rely on a central server, creating a bottleneck and limiting scalability in resource-constrained or failure-prone environments.
Technology...
Published: 5/6/2025
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Inventor(s): Lei Yang, Seyed Mahmoud Sajjadi Mohammadabadi
Keywords(s):
Category(s): Technology Classifications > Software, Technology Classifications > Information & Communication Technologies
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Deep learning-based wildfire smoke detection tools
Technology Overview
Researchers at the University of Nevada, Reno have developed an early wildfire smoke detection software that uses AI to analyze real-time video from remote camera networks. The system, named Nemo, uses an end-to-end Transformer architecture (based on DETR) to detect small, low-density smoke plumes—often visible only as faint...
Published: 5/6/2025
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Inventor(s): Lei Yang, Amir Yazdi
Keywords(s):
Category(s): Technology Classifications > Software, Technology Classifications > Energy & Environment
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PMU-based event detection tool for grid analytics and monitoring
Technology Overview:
Researchers at the University of Nevada, Reno have developed real-time grid event detection software that analyzes phasor measurement unit (PMU) data. The software uses singular value decomposition (SVD) to measure changes in rank signatures across PMU data signals (voltage, current, frequency). It employs Bayesian optimization...
Published: 5/6/2025
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Inventor(s): Lei Yang, Amir Ghasemkhani, Yunchuan Liu
Keywords(s):
Category(s): Technology Classifications > Software, Technology Classifications > Energy & Environment
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