A Framework for Distributed Personalized Optimization in Cyber-Physical Systems via Multi-Parameter Fractional Dynamics

This paper aims at solving the distributed personalized optimization problem in cyber-physical systems by combining the fractional dynamics. To fully utilize the advantages of the basic primal-dual method and its different variants, several parameters are introduced, which brings a unified framework...

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Bibliographic Details

Published in:	IEEE transactions on industrial cyber-physical systems Vol. 3; pp. 549 - 558
Main Authors:	Ni, Xintong, Wei, Yiheng, Tao, Meng, Hua, Liang, Cao, Jinde
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	Convergence Cyber-physical systems Distributed personalized optimization Eigenvalues and eigenfunctions Federated learning Fractional calculus Heuristic algorithms Lagrangian functions Linear programming multi-parameter system Optimization Topology unified framework
ISSN:	2832-7004, 2832-7004
Online Access:	Get full text
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