The Dual² approach produces iD2A and MiD2A gradient methods that achieve asymptotic convergence under milder conditions on the public function and linear rates with reduced communication and computation complexity.
Distributed energy resource management: All-time resource-demand feasibility, delay-tolerance, nonlinearity, and beyond,
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Accelerated Decentralized Constraint-Coupled Optimization: A Dual$^2$ Approach
The Dual² approach produces iD2A and MiD2A gradient methods that achieve asymptotic convergence under milder conditions on the public function and linear rates with reduced communication and computation complexity.