Convergence Rates of Distributed Two-Time-Scale Gradient Methods under Random Quantization
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DOI: 10.1016/j.ifacol.2019.12.192
Abstract: Abstract Motivated by broad applications within engineering and sciences, we study distributed consensus-based gradient methods for solving optimization problems over a network of nodes. A fundamental challenge for solving this problem is the impact of… read more here.
Keywords: random quantization; time scale; gradient methods; two time ... See more keywords