Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896675734> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2896675734 endingPage "2060" @default.
- W2896675734 startingPage "2048" @default.
- W2896675734 abstract "Decentralized computing is widely used for multiagent systems since it works without a central computing node. In this paper, we develop a first-order algorithm for decentralized consensus optimization that is more energy efficient than the current state-of-the-art. Our algorithm is suitable for application scenarios such as networks of wireless sensors and Internet of Things, where some agents have limited (battery) energy. We call our algorithm walk proximal gradient (WPG), which passes a token through a walk (a succession of nodes) in the graph. The agents that are visited during the walk compute the gradients of their private functions and update the token. We analyze WPG where the walk is the repetition of a Hamiltonian cycle and show that the token converges to the consensual solution faster (in terms of energy consumption) than existing gradient-based decentralized methods. We also generalize the analysis to the non-Hamiltonian graphs. Numerical experiments are presented to validate the energy efficiency of our algorithm." @default.
- W2896675734 created "2018-10-26" @default.
- W2896675734 creator A5003224816 @default.
- W2896675734 creator A5011030324 @default.
- W2896675734 creator A5085908411 @default.
- W2896675734 date "2019-04-01" @default.
- W2896675734 modified "2023-10-16" @default.
- W2896675734 title "Walk Proximal Gradient: An Energy-Efficient Algorithm for Consensus Optimization" @default.
- W2896675734 cites W1571416372 @default.
- W2896675734 cites W1970786657 @default.
- W2896675734 cites W1970997001 @default.
- W2896675734 cites W1973754217 @default.
- W2896675734 cites W1982545958 @default.
- W2896675734 cites W1983755786 @default.
- W2896675734 cites W1983933235 @default.
- W2896675734 cites W1984984930 @default.
- W2896675734 cites W1988795359 @default.
- W2896675734 cites W1993111701 @default.
- W2896675734 cites W2006794442 @default.
- W2896675734 cites W2013683781 @default.
- W2896675734 cites W2035089435 @default.
- W2896675734 cites W2049659086 @default.
- W2896675734 cites W2069133957 @default.
- W2896675734 cites W2101087742 @default.
- W2896675734 cites W2112027676 @default.
- W2896675734 cites W2117905067 @default.
- W2896675734 cites W2123705108 @default.
- W2896675734 cites W2123966196 @default.
- W2896675734 cites W2131720379 @default.
- W2896675734 cites W2132549513 @default.
- W2896675734 cites W2132895032 @default.
- W2896675734 cites W2136982937 @default.
- W2896675734 cites W2142876645 @default.
- W2896675734 cites W2158643468 @default.
- W2896675734 cites W2162986857 @default.
- W2896675734 cites W2165374450 @default.
- W2896675734 cites W2165744313 @default.
- W2896675734 cites W2315925303 @default.
- W2896675734 cites W3104398353 @default.
- W2896675734 cites W3194776842 @default.
- W2896675734 doi "https://doi.org/10.1109/jiot.2018.2875057" @default.
- W2896675734 hasPublicationYear "2019" @default.
- W2896675734 type Work @default.
- W2896675734 sameAs 2896675734 @default.
- W2896675734 citedByCount "16" @default.
- W2896675734 countsByYear W28966757342020 @default.
- W2896675734 countsByYear W28966757342021 @default.
- W2896675734 countsByYear W28966757342022 @default.
- W2896675734 countsByYear W28966757342023 @default.
- W2896675734 crossrefType "journal-article" @default.
- W2896675734 hasAuthorship W2896675734A5003224816 @default.
- W2896675734 hasAuthorship W2896675734A5011030324 @default.
- W2896675734 hasAuthorship W2896675734A5085908411 @default.
- W2896675734 hasBestOaLocation W28966757341 @default.
- W2896675734 hasConcept C105795698 @default.
- W2896675734 hasConcept C11413529 @default.
- W2896675734 hasConcept C126255220 @default.
- W2896675734 hasConcept C186370098 @default.
- W2896675734 hasConcept C33923547 @default.
- W2896675734 hasConcept C41008148 @default.
- W2896675734 hasConceptScore W2896675734C105795698 @default.
- W2896675734 hasConceptScore W2896675734C11413529 @default.
- W2896675734 hasConceptScore W2896675734C126255220 @default.
- W2896675734 hasConceptScore W2896675734C186370098 @default.
- W2896675734 hasConceptScore W2896675734C33923547 @default.
- W2896675734 hasConceptScore W2896675734C41008148 @default.
- W2896675734 hasFunder F4320306076 @default.
- W2896675734 hasFunder F4320321001 @default.
- W2896675734 hasFunder F4320335777 @default.
- W2896675734 hasIssue "2" @default.
- W2896675734 hasLocation W28966757341 @default.
- W2896675734 hasOpenAccess W2896675734 @default.
- W2896675734 hasPrimaryLocation W28966757341 @default.
- W2896675734 hasRelatedWork W2020055078 @default.
- W2896675734 hasRelatedWork W2333698505 @default.
- W2896675734 hasRelatedWork W2348034253 @default.
- W2896675734 hasRelatedWork W2351491280 @default.
- W2896675734 hasRelatedWork W2371447506 @default.
- W2896675734 hasRelatedWork W2376543540 @default.
- W2896675734 hasRelatedWork W2386767533 @default.
- W2896675734 hasRelatedWork W2389317840 @default.
- W2896675734 hasRelatedWork W303980170 @default.
- W2896675734 hasRelatedWork W4200138634 @default.
- W2896675734 hasVolume "6" @default.
- W2896675734 isParatext "false" @default.
- W2896675734 isRetracted "false" @default.
- W2896675734 magId "2896675734" @default.
- W2896675734 workType "article" @default.