Logarithmically Quantized Distributed Optimization Over Dynamic Multi-Agent Networks
Distributed optimization finds many applications in machine learning, signal processing, and control systems. In these real-world applications, the constraints of communication networks, particularly limited bandwidth, necessitate implementing quantization techniques. In this letter, we propose dist...
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Published in | IEEE control systems letters Vol. 8; pp. 2433 - 2438 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
IEEE
2024
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Subjects | |
Online Access | Get full text |
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