Preprint
Jul 2026
A Slow-Fast Stochastic Framework for Zeroth-Order Distributed Time-Varying Optimization
The results show that the fast subsystem converges rapidly to the instantaneous stochastic gradient estimates, while the slow subsystem achieves practically fixed-time consensus (Pfxc) in probability and asymptotically bounded tracks the time-varying optimal trajectory.
Wan-ying Li, Nan-jing Huang
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