Distributed Average Consensus With Quantization Refinement

63 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication (2019, background): “Inorderto converge, adaptive schemes (with varying compression accuracy) have been proposed (Carli et al., 2010a; Fang & Li, 2010; Li et al., 2011; Thanou et al., 2013).”
Networked control systems: a survey of trends and techniques (2020, unknown): “, [46], [47] and references therein.”
Distributed Quantized Weight-Balancing and Average Consensus Over Digraphs (2018, methodology): “To cope with the limited data rate constraint, quantization was later introduced in consensus algorithms and its effect analyzed in [10]–[19], with [10]–[16] considering undirected graphs and [19] directed but balanced digraphs only.”
Design and analysis of distributed averaging with quantized communication (2014, background): “Control performance of logarithmic quantizers was studied in [7] and recently a novel but complicated dynamic quantizer has been proposed in [28].”