Distributed optimization via primal and dual decompositions for delay-constrained FANETs
Sign Up to like & getrecommendations! Published in 2020 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102288
Abstract: Abstract This paper aims to optimize the different network parameters in a distributed manner for delay-constrained flying ad hoc networks (FANETs) without the global network topology information. To this end, each Unmanned Aerial Vehicle (UAV)… read more here.
Keywords: delay constrained; network; distributed optimization; primal dual ... See more keywords
Distributed optimization for scheduling energy flows in community microgrids
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106479
Abstract: Abstract With the increasing development of grid-connected microgrids predominantly powered by renewable energy sources, their negative impact on the distribution grid cannot be ignored. Whilst this burden is borne by the distribution system operator (DSO),… read more here.
Keywords: scheduling energy; energy; optimization scheduling; congestion management ... See more keywords
Extremum-Seeking Based Distributed Optimization of Heat Exchangers Network
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.12.057
Abstract: Abstract In this paper we develop a distributed optimization method for a Heat Exchangers Network. The considered network is given by an interconnected hot thermal sources flows and cold consumers flows through counter-current heat exchangers.… read more here.
Keywords: network; exchangers network; heat exchangers; distributed optimization ... See more keywords
Distributed Optimization of Nonlinear Uncertain Systems: An Adaptive Backstepping Design
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1586
Abstract: Abstract This paper proposes a Lyapunov-based adaptive backstepping approach to distributed optimization of nonlinear uncertain multi-agent systems. The model of each agent is in the strict-feedback form with parametric uncertainties. By only using local objective… read more here.
Keywords: optimization; nonlinear uncertain; adaptive backstepping; optimization nonlinear ... See more keywords
GoSGD: Distributed Optimization for Deep Learning with Gossip Exchange
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.002
Abstract: We address the issue of speeding up the training of convolutional neural networks by studying a distributed method adapted to stochastic gradient descent. Our parallel optimization setup uses several threads, each applying individual gradient descents… read more here.
Keywords: gosgd; deep learning; optimization; distributed optimization ... See more keywords
A dual approach for optimal algorithms in distributed optimization over networks
Sign Up to like & getrecommendations! Published in 2021 at "Optimization Methods and Software"
DOI: 10.1080/10556788.2020.1750013
Abstract: We study dual-based algorithms for distributed convex optimization problems over networks, where the objective is to minimize a sum of functions over in a network. We provide complexity bounds for four different cases, namely: each… read more here.
Keywords: algorithms distributed; algorithms; strongly convex; optimization ... See more keywords
Distributed optimization for discrete-time multiagent systems with nonconvex control input constraints and switching topologies
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Physics B"
DOI: 10.1088/1674-1056/abfb5b
Abstract: This paper addresses the distributed optimization problem of discrete-time multiagent systems with nonconvex control input constraints and switching topologies. We introduce a novel distributed optimization algorithm with a switching mechanism to guarantee that all agents… read more here.
Keywords: time multiagent; multiagent systems; optimization; control ... See more keywords
Distributed Optimization Framework for Energy Management of Multiple Smart Homes With Distributed Energy Resources
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2734911
Abstract: This paper proposes a distributed optimization algorithm for scheduling the energy consumption of multiple smart homes with distributed energy resources. In the proposed approach, the centralized optimization problem for home energy management is decomposed into… read more here.
Keywords: level; distributed optimization; energy management; energy ... See more keywords
Distributed Optimization Algorithm for Discrete-Time Heterogeneous Multi-Agent Systems With Nonuniform Stepsizes
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925414
Abstract: This paper is devoted to the distributed optimization problem of heterogeneous multi-agent systems, where the communication topology is jointly strongly connected and the dynamics of each agent is the first-order or second-order integrator. A new… read more here.
Keywords: time; agent; multi agent; topology ... See more keywords
Distributed Optimization With Improved Dynamic Performance for Multiagent Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192446
Abstract: Dynamic coverage is one of the fundamental problems in multi-agent systems (MASs), and is related to optimal placement of nodes to observe a physical space. In a typical coverage problem, a set of targets are… read more here.
Keywords: coverage; distributed optimization; optimization improved; dynamic performance ... See more keywords
Federated Adam-Type Algorithm for Distributed Optimization With Lazy Strategy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3175997
Abstract: For large-scale machine learning tasks, distributing data in multiple clients, and using distributed optimization algorithms with a parameter server can accelerate the training process. The federated average algorithm has been widely used for distributed optimization… read more here.
Keywords: adam type; lazy strategy; algorithm; distributed optimization ... See more keywords