{"id":"https://openalex.org/W4411717318","doi":"https://doi.org/10.1007/s00446-025-00487-7","title":"Near-Optimal Leader Election in Population Protocols on Graphs","display_name":"Near-Optimal Leader Election in Population Protocols on Graphs","publication_year":2025,"publication_date":"2025-06-27","ids":{"openalex":"https://openalex.org/W4411717318","doi":"https://doi.org/10.1007/s00446-025-00487-7"},"language":"en","primary_location":{"id":"doi:10.1007/s00446-025-00487-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00446-025-00487-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00446-025-00487-7.pdf","source":{"id":"https://openalex.org/S139349430","display_name":"Distributed Computing","issn_l":"0178-2770","issn":["0178-2770","1432-0452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00446-025-00487-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083822059","display_name":"Dan Alistarh","orcid":"https://orcid.org/0000-0003-3650-940X"},"institutions":[{"id":"https://openalex.org/I157556583","display_name":"Institute of Science and Technology Austria","ror":"https://ror.org/03gnh5541","country_code":"AT","type":"education","lineage":["https://openalex.org/I157556583"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Dan Alistarh","raw_affiliation_strings":["Institute of Science and Technology Austria, Klosterneuburg, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology Austria, Klosterneuburg, Austria","institution_ids":["https://openalex.org/I157556583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091604054","display_name":"Joel Rybicki","orcid":"https://orcid.org/0000-0002-6432-6646"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joel Rybicki","raw_affiliation_strings":["Humboldt University of Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Humboldt University of Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045715979","display_name":"Sasha Voitovych","orcid":"https://orcid.org/0000-0003-1840-476X"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sasha Voitovych","raw_affiliation_strings":["MIT, Cambridge, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, USA","institution_ids":["https://openalex.org/I4210110987"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083822059"],"corresponding_institution_ids":["https://openalex.org/I157556583"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14851431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"3","first_page":"207","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","score":0.9994999766349792,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9994999766349792,"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":0.9725000262260437,"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/T11125","display_name":"Petri Nets in System Modeling","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/algorithm","display_name":"Algorithm","score":0.6162890195846558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48966315388679504},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48484957218170166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35076355934143066},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.089379221200943}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6162890195846558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48966315388679504},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48484957218170166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35076355934143066},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.089379221200943},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00446-025-00487-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00446-025-00487-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00446-025-00487-7.pdf","source":{"id":"https://openalex.org/S139349430","display_name":"Distributed Computing","issn_l":"0178-2770","issn":["0178-2770","1432-0452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00446-025-00487-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00446-025-00487-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00446-025-00487-7.pdf","source":{"id":"https://openalex.org/S139349430","display_name":"Distributed Computing","issn_l":"0178-2770","issn":["0178-2770","1432-0452"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323700","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411717318.pdf","grobid_xml":"https://content.openalex.org/works/W4411717318.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W127957994","https://openalex.org/W390146837","https://openalex.org/W1493079923","https://openalex.org/W1501097462","https://openalex.org/W1789316180","https://openalex.org/W1964535518","https://openalex.org/W1968191405","https://openalex.org/W2006072889","https://openalex.org/W2009356484","https://openalex.org/W2038562061","https://openalex.org/W2042437235","https://openalex.org/W2082781959","https://openalex.org/W2103160469","https://openalex.org/W2149345630","https://openalex.org/W2275408670","https://openalex.org/W2399651233","https://openalex.org/W2405987069","https://openalex.org/W2495546859","https://openalex.org/W2514142910","https://openalex.org/W2609887493","https://openalex.org/W2706788079","https://openalex.org/W2737433696","https://openalex.org/W2743261842","https://openalex.org/W2784304773","https://openalex.org/W2787248994","https://openalex.org/W2885549115","https://openalex.org/W2898165178","https://openalex.org/W2950605817","https://openalex.org/W2963626708","https://openalex.org/W2963844133","https://openalex.org/W2964080237","https://openalex.org/W2964266424","https://openalex.org/W2999192391","https://openalex.org/W3008801280","https://openalex.org/W3011831250","https://openalex.org/W3016416987","https://openalex.org/W3022212462","https://openalex.org/W3046731497","https://openalex.org/W3101494832","https://openalex.org/W3104722849","https://openalex.org/W3106250499","https://openalex.org/W3108725138","https://openalex.org/W3158164934","https://openalex.org/W4205300528","https://openalex.org/W4252911490","https://openalex.org/W4281990278","https://openalex.org/W4293507953"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Abstract":[0],"In":[1,168,241],"the":[2,27,33,61,84,97,173,183,198,293,323],"stochastic":[3],"population":[4],"protocol":[5,229,247,295,332],"model,":[6],"we":[7,171,243,287],"are":[8],"given":[9],"a":[10,21,66,228,245,271,305],"connected":[11,35],"graph":[12,28,235],"with":[13],"n":[14],"nodes,":[15],"and":[16,32,60,78,327],"in":[17,43,51,56,68,109],"every":[18],"time":[19,186],"step,":[20],"scheduler":[22],"samples":[23],"an":[24,57],"edge":[25,38],"of":[26,91,99,175,200,296],"uniformly":[29],"at":[30,269,303],"random":[31,340],"nodes":[34,54],"by":[36],"this":[37,44,80,100,169,331],"interact.":[39],"A":[40],"fundamental":[41],"task":[42],"model":[45],"is":[46,63,74,231,268,302],"stable":[47,176,201],"leader":[48,77,86,177,202],"election":[49,178,203],",":[50,96],"which":[52,69],"all":[53],"start":[55],"identical":[58],"state":[59],"aim":[62],"to":[64,209],"reach":[65],"configuration":[67],"(1)":[70,149,208],"exactly":[71],"one":[72],"node":[73,81],"elected":[75],"as":[76,83],"(2)":[79],"remains":[82],"unique":[85],"no":[87],"matter":[88],"what":[89],"sequence":[90],"interactions":[92],"follows.":[93],"On":[94],"cliques":[95],"complexity":[98,174,199,337],"problem":[101],"has":[102,333],"recently":[103],"been":[104],"settled:":[105],"time-optimal":[106,232],"protocols":[107,145],"stabilize":[108],"$$\\Theta":[110,128,152,210],"(n":[111],"\\log":[112,130,308],"n)$$":[113,131,274,309],"<mml:math":[114,132,154,212,253,275,310],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[115,133,155,213,254,276,311],"<mml:mrow>":[116,134,156,214,255,277,312],"<mml:mi>\u0398</mml:mi>":[117,135,157,215],"<mml:mo>(</mml:mo>":[118,136,158,216,257,279,314],"<mml:mi>n</mml:mi>":[119,121,139,160,218,262,281,315,317],"<mml:mo>log</mml:mo>":[120,137,138,259,280,316],"<mml:mo>)</mml:mo>":[122,140,163,221,263,282,318],"</mml:mrow>":[123,141,164,222,264,283,319],"</mml:math>":[124,142,165,223,265,284,320],"expected":[125,166,224],"steps":[126],"using":[127],"(\\log":[129],"states,":[143],"whereas":[144],"that":[146,230,248,267,289],"use":[147],"O":[148,207],"states":[150,266],"require":[151],"(n^2)$$":[153],"<mml:msup>":[159,217,258],"<mml:mn>2</mml:mn>":[161,260],"</mml:msup>":[162,220,261],"steps.":[167,225],"work,":[170],"investigate":[172],"on":[179,189,233,338],"graphs.":[180,341],"We":[181,226],"provide":[182],"first":[184],"non-trivial":[185],"lower":[187],"bounds":[188],"general":[190],"graphs,":[191],"showing":[192],"that,":[193],"when":[194],"moving":[195],"beyond":[196],"cliques,":[197],"can":[204],"range":[205],"from":[206],"(n^3)$$":[211],"<mml:mn>3</mml:mn>":[219],"describe":[227],"many":[234,291],"families,":[236],"but":[237],"uses":[238,249],"polynomially-many":[239],"states.":[240],"contrast,":[242],"give":[244],"near-time-optimal":[246],"only":[250],"$$O(\\log":[251,273],"^2n)$$":[252],"<mml:mi>O</mml:mi>":[256,278,313],"most":[270,304],"factor":[272,306],"slower.":[285],"Finally,":[286],"observe":[288],"for":[290],"graphs":[292],"constant-state":[294,329],"Beauquier":[297],"et":[298],"al.":[299],"[OPODIS":[300],"2013]":[301],"$$O(n":[307],"slower":[321],"than":[322],"fast":[324],"polynomial-state":[325],"protocol,":[326],"among":[328],"protocols,":[330],"near-optimal":[334],"average":[335],"case":[336],"dense":[339]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
