{"id":"https://openalex.org/W4301184542","doi":"https://doi.org/10.1109/icccworkshops55477.2022.9896691","title":"5GS Assistance for Federated Learning Member Selection in Trajectory Prediction Scenarios","display_name":"5GS Assistance for Federated Learning Member Selection in Trajectory Prediction Scenarios","publication_year":2022,"publication_date":"2022-08-11","ids":{"openalex":"https://openalex.org/W4301184542","doi":"https://doi.org/10.1109/icccworkshops55477.2022.9896691"},"language":"en","primary_location":{"id":"doi:10.1109/icccworkshops55477.2022.9896691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccworkshops55477.2022.9896691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","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/A5003194463","display_name":"Jingran Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingran Chen","raw_affiliation_strings":["OPPO,Department of Standard and Research,Beijing,China","Department of Standard and Research, OPPO, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPPO,Department of Standard and Research,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Department of Standard and Research, OPPO, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024268884","display_name":"Boren Guo","orcid":"https://orcid.org/0000-0002-1520-4933"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boren Guo","raw_affiliation_strings":["OPPO,Department of Standard and Research,Beijing,China","Department of Standard and Research, OPPO, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPPO,Department of Standard and Research,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Department of Standard and Research, OPPO, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462079","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0002-0932-8112"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Xu","raw_affiliation_strings":["OPPO,Department of Standard and Research,Beijing,China","Department of Standard and Research, OPPO, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPPO,Department of Standard and Research,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Department of Standard and Research, OPPO, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044915312","display_name":"Tricci So","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tricci So","raw_affiliation_strings":["OPPO,Department of Standard and Research,Beijing,China","Department of Standard and Research, OPPO, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPPO,Department of Standard and Research,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Department of Standard and Research, OPPO, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023218221","display_name":"Cong Shi","orcid":"https://orcid.org/0000-0002-7599-202X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cong Shi","raw_affiliation_strings":["OPPO,Department of Standard and Research,Beijing,China","Department of Standard and Research, OPPO, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPPO,Department of Standard and Research,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Department of Standard and Research, OPPO, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686905","display_name":"Ning Yang","orcid":"https://orcid.org/0000-0002-0606-4625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Yang","raw_affiliation_strings":["OPPO,Department of Standard and Research,Beijing,China","Department of Standard and Research, OPPO, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OPPO,Department of Standard and Research,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Department of Standard and Research, OPPO, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102745489","display_name":"Bowen Xie","orcid":"https://orcid.org/0000-0003-2476-0357"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Xie","raw_affiliation_strings":["Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063883924","display_name":"Yuxuan Sun","orcid":"https://orcid.org/0000-0001-9720-6993"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Sun","raw_affiliation_strings":["Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021120517","display_name":"Sheng Zhou","orcid":"https://orcid.org/0000-0003-0651-0071"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Zhou","raw_affiliation_strings":["Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"216","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.814363956451416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7890350222587585},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.710655152797699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4514079988002777},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4358677566051483}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.814363956451416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890350222587585},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.710655152797699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4514079988002777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4358677566051483},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccworkshops55477.2022.9896691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccworkshops55477.2022.9896691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2955189650","https://openalex.org/W3108486966","https://openalex.org/W3201551522"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3046775127","https://openalex.org/W4205958290","https://openalex.org/W3209574120","https://openalex.org/W3170094116","https://openalex.org/W3107602296"],"abstract_inverted_index":{"In":[0,141],"federated":[1],"learning":[2],"(FL)":[3],"over":[4],"the":[5,25,30,72,75,126,138,143,155,159,168,172,177,183,188,193],"5G":[6],"system":[7],"(5GS),":[8],"a":[9,39,49,60,91,119,129,149],"group":[10],"of":[11,42,63,74,128,161],"user":[12,106,110],"equipments":[13],"(UEs)":[14],"that":[15],"are":[16],"FL":[17,43,64,88,120,169,178],"participants":[18,44,65,89],"with":[19,68],"diverse":[20],"local":[21],"datasets":[22],"can":[23],"accelerate":[24],"model":[26,31],"training":[27],"and":[28,113],"enhance":[29],"generalization.":[32],"It":[33],"is":[34,90,146],"impractical":[35],"to":[36,47,58,82,136,157,165,171],"blindly":[37],"select":[38,59,84],"large":[40],"number":[41,62],"in":[45,167],"order":[46],"derive":[48],"well-trained":[50],"model.":[51],"Instead,":[52],"it":[53,101],"would":[54],"be":[55],"more":[56],"beneficial":[57],"small":[61],"(i.e.":[66],"UEs)":[67],"specific":[69],"characteristics":[70],"given":[71],"considerations":[73],"mobile":[76,98],"communication":[77],"resource":[78],"constraints.":[79],"However,":[80],"how":[81],"effectively":[83],"suitable":[85],"UEs":[86,164],"as":[87,109,148,174],"challenging":[92],"problem":[93],"for":[94,187,195],"application":[95,189],"server":[96],"on":[97,125],"targets,":[99],"since":[100],"requires":[102],"prior":[103],"information":[104,112],"about":[105],"characteristics,":[107],"such":[108],"location":[111],"mobility-related":[114],"information.":[115],"This":[116,180],"paper":[117,181],"proposes":[118],"member":[121],"selection":[122],"method":[123],"based":[124],"assistance":[127],"3rd":[130],"Generation":[131],"Partnership":[132],"Project":[133],"(3GPP)":[134],"5GS":[135,153,185],"address":[137],"above":[139],"problem.":[140],"particular,":[142],"trajectory":[144],"prediction":[145],"considered":[147],"typical":[150],"scenario":[151],"where":[152],"has":[154],"ability":[156],"identify":[158],"list":[160],"best":[162],"candidate":[163],"participate":[166],"according":[170],"criteria":[173],"specified":[175],"by":[176],"server.":[179],"illustrates":[182],"effective":[184],"support":[186],"AI":[190,196],"services":[191],"from":[192],"Network":[194],"perspective.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}