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Zeroth-order Asynchronous Learning with Bounded Delays with a Use-case in Resource Allocation in Communication Networks
Distributed optimization has experienced a significant surge in interest due to its wide-ranging applications in distributed learning and adaptation.
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands
The optimization algorithm aims to optimize the on-off status of users in a time-sharing problem to satisfy their utility demands in expectation.
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
We introduce SPIRAL, a SuPerlinearly convergent Incremental pRoximal ALgorithm, for solving nonconvex regularized finite sum problems under a relative smoothness assumption.
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