{"id":"https://openalex.org/W4409262220","doi":"https://doi.org/10.1109/icct62411.2024.10946537","title":"Wireless Traffic Prediction with L2 Paradigm Optimized Federated Learning","display_name":"Wireless Traffic Prediction with L2 Paradigm Optimized Federated Learning","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4409262220","doi":"https://doi.org/10.1109/icct62411.2024.10946537"},"language":"en","primary_location":{"id":"doi:10.1109/icct62411.2024.10946537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","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/A5113340812","display_name":"Fuwei Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuwei Gao","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045797640","display_name":"Chuanting Zhang","orcid":"https://orcid.org/0000-0002-6685-4071"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanting Zhang","raw_affiliation_strings":["School of Software, Shandong University,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shandong University,Jinan,China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054338343","display_name":"Jingping Qiao","orcid":"https://orcid.org/0000-0002-9841-6586"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingping Qiao","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University,Jinan,China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058696702","display_name":"Anming Dong","orcid":"https://orcid.org/0000-0001-7470-5159"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anming Dong","raw_affiliation_strings":["School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences),Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences),Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":null,"issue":null,"first_page":"953","last_page":"957"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9577999711036682,"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":0.9577999711036682,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9427000284194946,"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/computer-science","display_name":"Computer science","score":0.7404957413673401},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5877605676651001},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4505414068698883},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4183875322341919},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23115715384483337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404957413673401},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5877605676651001},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4505414068698883},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4183875322341919},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23115715384483337}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct62411.2024.10946537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1986620394","https://openalex.org/W2807536558","https://openalex.org/W2890072063","https://openalex.org/W2921319277","https://openalex.org/W3156128181","https://openalex.org/W3162224075","https://openalex.org/W3186590963","https://openalex.org/W3196463200","https://openalex.org/W4225605548","https://openalex.org/W4353069619","https://openalex.org/W4401705532","https://openalex.org/W6728757088"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Decentralized":[0],"wireless":[1,66],"traffic":[2,67],"prediction":[3,68,116],"is":[4,86,118,144],"crucial":[5],"for":[6,65,98],"intelligent":[7],"communication":[8,30,90,104,162],"systems.":[9],"But,":[10],"in":[11,107,156],"the":[12,18,71,77,81,89,93,102,108,112,115,122,128,133],"conventional":[13],"federated":[14,38],"learning":[15,39],"framework,":[16,40],"ensuring":[17],"global":[19,84,129],"model\u2019s":[20],"performance":[21,113,160],"depends":[22],"on":[23,146],"frequent":[24],"local-server":[25,103],"communications,":[26],"leading":[27],"to":[28,100,127],"substantial":[29],"costs.":[31],"This":[32],"paper":[33],"introduces":[34],"an":[35,45,52,61],"L2":[36,46,53],"norm-optimized":[37],"namely":[41],"FedL2.":[42],"FedL2":[43,143,152],"develops":[44],"norm":[47],"optimization":[48],"method":[49],"and":[50,60,83,131,161],"devises":[51],"norm-based":[54],"local":[55,72,82,96,125,137],"model":[56,73,117,130],"uploading":[57,74],"decision":[58,75],"mechanism":[59],"adaptive":[62,109],"aggregation":[63,110],"strategy":[64],"tasks.":[69],"In":[70],"mechanism,":[76],"cumulative":[78],"difference":[79],"between":[80,136],"models":[85,97,126],"compared":[87],"with":[88],"threshold,":[91],"selecting":[92],"most":[94],"valuable":[95],"upload":[99],"reduce":[101],"frequency.":[105],"Furthermore,":[106],"strategy,":[111],"of":[114,124,142,158],"enhanced":[119],"by":[120],"quantifying":[121],"contribution":[123],"capturing":[132],"spatial":[134],"correlations":[135],"base":[138],"stations.":[139],"The":[140],"effectiveness":[141],"demonstrated":[145],"two":[147],"real-world":[148],"datasets,":[149],"showing":[150],"that":[151],"outperforms":[153],"benchmark":[154],"algorithms":[155],"terms":[157],"predictive":[159],"efficiency.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
