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Enhancing privacy and convergence speed in self-organizing networks: A prescribed-time fully distributed neurodynamic approach with verification scheme

delete2026-08-07
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PRE
AI
Z
Zhijie Chen
J
Jinbao Huang
J
Jianing Chen
秦泗甜 (Sitian Qin) *
DOI:10.1016/j.neucom.2026.134747delete
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Abstract

Abstract

En 中文
• Novel prescribed-time fully distributed neurodynamic approach for NE seeking with privacy protection. • Initiative switching mechanism prevents information leakage without attack detection. • Double-layer adaptive structure ensures rapid convergence and prevents gain overgrowth. • Reduces information leakage by 36.38% in self-organizing autonomous vehicle networks.

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

H
Harbin Institute of Technology
Scholars:
1.1W
Papers: 3.8K
Citations: 8.5W
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