{"id":"https://openalex.org/W2040927601","doi":"https://doi.org/10.1109/isit.2007.4557655","title":"Accelerating Distributed Consensus Via Lifting Markov Chains","display_name":"Accelerating Distributed Consensus Via Lifting Markov Chains","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2040927601","doi":"https://doi.org/10.1109/isit.2007.4557655","mag":"2040927601"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2007.4557655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2007.4557655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026873815","display_name":"Wenjun Li","orcid":"https://orcid.org/0000-0002-5410-8960"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjun Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh , NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh , NC","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027155270","display_name":"Huaiyu Dai","orcid":"https://orcid.org/0000-0002-0078-4891"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huaiyu Dai","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh , NC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh , NC","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2881","last_page":"2885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.8283131718635559},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5927377343177795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787537097930908},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.539138674736023},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5341882705688477},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5110400915145874},{"id":"https://openalex.org/keywords/binary-logarithm","display_name":"Binary logarithm","score":0.4797321856021881},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.4759642481803894},{"id":"https://openalex.org/keywords/consensus-algorithm","display_name":"Consensus algorithm","score":0.4491465389728546},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41698604822158813},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.4106791913509369},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.38259097933769226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3770831525325775},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3759429454803467},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3730124831199646},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.18844300508499146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1041458249092102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08846333622932434},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08394855260848999}],"concepts":[{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.8283131718635559},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5927377343177795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787537097930908},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.539138674736023},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5341882705688477},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5110400915145874},{"id":"https://openalex.org/C63553672","wikidata":"https://www.wikidata.org/wiki/Q581168","display_name":"Binary logarithm","level":2,"score":0.4797321856021881},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.4759642481803894},{"id":"https://openalex.org/C2983222225","wikidata":"https://www.wikidata.org/wiki/Q2994424","display_name":"Consensus algorithm","level":2,"score":0.4491465389728546},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41698604822158813},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.4106791913509369},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.38259097933769226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3770831525325775},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3759429454803467},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3730124831199646},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.18844300508499146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1041458249092102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08846333622932434},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08394855260848999},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2007.4557655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2007.4557655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.3128","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.3128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www4.ncsu.edu/~hdai/ISIT07_final.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W195465510","https://openalex.org/W1586184796","https://openalex.org/W1982490730","https://openalex.org/W1985215886","https://openalex.org/W2074796812","https://openalex.org/W2117905067","https://openalex.org/W2137775453","https://openalex.org/W2169593613","https://openalex.org/W2295244470","https://openalex.org/W3200448902","https://openalex.org/W6607884611","https://openalex.org/W6646067589","https://openalex.org/W6669130185","https://openalex.org/W6673244492"],"related_works":["https://openalex.org/W2134065230","https://openalex.org/W2123112061","https://openalex.org/W2137594557","https://openalex.org/W2899261484","https://openalex.org/W2291212037","https://openalex.org/W2303378850","https://openalex.org/W2020715069","https://openalex.org/W2414729482","https://openalex.org/W2188814125","https://openalex.org/W2902010279"],"abstract_inverted_index":{"Existing":[0],"works":[1],"on":[2,9,100],"distributed":[3,65,131],"averaging":[4,66],"explore":[5],"linear":[6],"iterations":[7],"based":[8],"reversible":[10,30,42],"Markov":[11,81],"chains.":[12,31,50],"The":[13],"convergence":[14],"of":[15,28,56,97,141],"such":[16],"algorithms":[17],"is":[18,90,147],"bounded":[19],"to":[20,24,62,75,92,123],"be":[21],"slow":[22],"due":[23],"the":[25,29,48,54,80],"diffusive":[26],"behavior":[27],"It":[32],"has":[33],"been":[34],"observed":[35],"that":[36,53,88,135],"certain":[37],"nonreversible":[38,57,127],"chains":[39],"lifted":[40,77],"from":[41],"ones":[43],"mix":[44],"substantially":[45],"faster":[46],"than":[47],"original":[49],"We":[51,83,133],"show":[52,134],"idea":[55],"lifting":[58],"lends":[59],"itself":[60],"naturally":[61],"a":[63,85,101,107,113,125,130,150],"fast":[64],"algorithm,":[67,118],"where":[68],"each":[69],"node":[70],"maintains":[71],"multiple":[72,76],"estimates,":[73],"corresponding":[74],"states":[78],"in":[79,129,149],"chain.":[82],"give":[84],"rigorous":[86],"proof":[87],"it":[89],"possible":[91],"achieve":[93],"an":[94,138],"e-averaging":[95,139],"time":[96,140],"Theta(k":[98],"log(1/isin))":[99,146],"k":[102,104],"times":[103],"grid.":[105],"For":[106],"general":[108],"wireless":[109,151],"network,":[110],"we":[111],"propose":[112],"Location-Aided":[114],"Distributed":[115],"Averaging":[116],"(LADA)":[117],"which":[119],"utilizes":[120],"local":[121],"information":[122],"construct":[124],"fast-mixing":[126],"chain":[128],"manner.":[132],"using":[136],"LADA,":[137],"Theta(r":[142],"<sup":[143],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-1</sup>":[145],"achievable":[148],"network":[152],"with":[153],"transmission":[154],"radius":[155],"r.":[156]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
