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Accession Number:
AD1064914
Title:
Optimization Techniques for Network Security, Distributed Agents, and RF Sensor Coexistence
Report Date:
2018-12-01
Abstract:
A primary objective of the US Army Research Laboratory (ARL) is to bring together the scientific and military communities through collaboration on research that will directly benefit the Warfighter. A wide array of projects that ARL supports involves optimization of a noise-corrupted loss function over a potentially high-dimensional parameter space. In this report, we detail three areas of research that ARL is involved in that may benefit from stochastic optimization: adversarial machine learning, distributed agents, and spectrum sensing for radar.
Document Type:
Conference:
Journal:
Pages:
22
File Size:
0.73MB
Contracts:
Grants:
Distribution Statement:
Approved For Public Release
