Stochastic distributed learning with gradient quantization and double-variance reduction
Sign Up to like & getrecommendations! Published in 2022 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2022.2117355
Abstract: ABSTRACT We consider distributed optimization over several devices, each sending incremental model updates to a central server. This setting is considered, for instance, in federated learning. Various schemes have been designed to compress the model… read more here.
Keywords: stochastic distributed; variance reduction; distributed learning; compression ... See more keywords
Stochastic Distributed Predictive Tracking Control Under Inexact Minimization
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Control of Network Systems"
DOI: 10.1109/tcns.2021.3089138
Abstract: In this article, we propose a chance-constrained cooperative distributed model predictive control scheme for reference tracking. We consider dynamically coupled linear time-invariant systems that are subject to local and coupling chance constraints. The proposed controller… read more here.
Keywords: predictive tracking; control; stochastic distributed; distributed predictive ... See more keywords
Stochastic Distributed Pinning Control for Co-Multi-Inverter Networks With a Virtual Leader
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2019.2950764
Abstract: This brief develops a stochastic distributed pinning control scheme for the voltage regulation of co-multi-inverter (CMI) networks subject to additive noise and symmetric time-delay disturbances. In actual CMI networks, the information exchange among multiple and… read more here.
Keywords: control; stochastic distributed; virtual leader; pinning control ... See more keywords