{"id":"https://openalex.org/W4392248587","doi":"https://doi.org/10.1109/icce59016.2024.10444309","title":"Federated Approach to Online Pairwise Comparison Ranking Problem","display_name":"Federated Approach to Online Pairwise Comparison Ranking Problem","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392248587","doi":"https://doi.org/10.1109/icce59016.2024.10444309"},"language":"en","primary_location":{"id":"doi:10.1109/icce59016.2024.10444309","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce59016.2024.10444309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"},"type":"article","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/A5101150489","display_name":"Tse-Yu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tse-Yu Lin","raw_affiliation_strings":["National Taiwan University,Data Science Degree Program,Taipei,Taiwan","Data Science Degree Program, National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Data Science Degree Program,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Data Science Degree Program, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027674418","display_name":"Yen-Lung Tsai","orcid":"https://orcid.org/0000-0002-8136-4329"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Lung Tsai","raw_affiliation_strings":["National Chengchi University,Department of Mathematical Sciences,Taipei,Taiwan","Department of Mathematical Sciences, National Chengchi University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Chengchi University,Department of Mathematical Sciences,Taipei,Taiwan","institution_ids":["https://openalex.org/I87354575"]},{"raw_affiliation_string":"Department of Mathematical Sciences, National Chengchi University, Taipei, Taiwan","institution_ids":["https://openalex.org/I87354575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101150489"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01964878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9976999759674072,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8487091064453125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7570417523384094},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7014061212539673},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4109155833721161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39670252799987793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33665961027145386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33417999744415283}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8487091064453125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570417523384094},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7014061212539673},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4109155833721161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39670252799987793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33665961027145386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33417999744415283}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce59016.2024.10444309","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icce59016.2024.10444309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2004030638","https://openalex.org/W2032876573","https://openalex.org/W2057969005","https://openalex.org/W2071111773","https://openalex.org/W2091158010","https://openalex.org/W2104465941","https://openalex.org/W2105187896","https://openalex.org/W2108862644","https://openalex.org/W2130406232","https://openalex.org/W2139037672","https://openalex.org/W2149427297","https://openalex.org/W2155747427","https://openalex.org/W2171237878","https://openalex.org/W2535838896","https://openalex.org/W2792285786","https://openalex.org/W2912255075","https://openalex.org/W3010852232","https://openalex.org/W3012501605","https://openalex.org/W3023574229","https://openalex.org/W3046653923","https://openalex.org/W3086590218","https://openalex.org/W3086809868","https://openalex.org/W3100779497","https://openalex.org/W3101220048","https://openalex.org/W3109094166","https://openalex.org/W3155912831","https://openalex.org/W3159080474","https://openalex.org/W4280577427","https://openalex.org/W4297687186"],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2088097596","https://openalex.org/W2150136235"],"abstract_inverted_index":{"In":[0,100],"this":[1,101],"work,":[2],"we":[3,103],"propose":[4],"a":[5,17,36,58,90,107],"federated":[6],"learning":[7],"(FL)":[8],"framework":[9,108],"for":[10],"the":[11,22,70,73,76,83,113],"online":[12],"HodgeRank":[13,34,71,111],"problem":[14],"to":[15,88,97,105,109],"obtain":[16],"global":[18],"ranking":[19,38,59],"based":[20],"on":[21,82],"pairwise":[23,42],"comparison":[24,43,77],"data":[25,32,44,87],"provided":[26],"by":[27],"users":[28],"while":[29],"respecting":[30],"users\u2019":[31,86,117],"privacy.":[33],"is":[35,72],"statistical":[37],"method":[39],"that":[40,60],"views":[41],"as":[45,57],"an":[46],"edge-weighted":[47],"directed":[48,93],"graph,":[49],"and,":[50],"vertex":[51],"weight":[52,63],"function":[53],"can":[54],"be":[55,98],"viewed":[56],"recovers":[61],"edge":[62],"using":[64],"difference.":[65],"A":[66],"critical":[67],"assumption":[68,80],"of":[69,75,85,116],"connectivity":[74],"graph.":[78],"This":[79],"relies":[81],"contribution":[84],"form":[89],"weakly":[91],"connected":[92],"graph":[94],"between":[95],"items":[96],"ranked.":[99],"paper,":[102],"aim":[104],"find":[106],"compute":[110],"with":[112],"minimum":[114],"usage":[115],"data.":[118]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
