{"id":"https://openalex.org/W4415970246","doi":"https://doi.org/10.23919/icmu65253.2025.11219167","title":"SimDeep: Federated 3D Indoor Localization via Similarity-Aware Aggregation","display_name":"SimDeep: Federated 3D Indoor Localization via Similarity-Aware Aggregation","publication_year":2025,"publication_date":"2025-09-10","ids":{"openalex":"https://openalex.org/W4415970246","doi":"https://doi.org/10.23919/icmu65253.2025.11219167"},"language":null,"primary_location":{"id":"doi:10.23919/icmu65253.2025.11219167","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icmu65253.2025.11219167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fifteenth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)","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/A5114746950","display_name":"Ahmed Jaheen","orcid":null},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed Jaheen","raw_affiliation_strings":["The American University in Cairo,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The American University in Cairo,Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114746951","display_name":"Sarah Elsamanody","orcid":null},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Sarah Elsamanody","raw_affiliation_strings":["The American University in Cairo,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The American University in Cairo,Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013317917","display_name":"Hamada Rizk","orcid":"https://orcid.org/0000-0002-8278-8801"},"institutions":[{"id":"https://openalex.org/I4210147624","display_name":"Nitto RIKEN (Japan)","ror":"https://ror.org/042n88708","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210147624"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hamada Rizk","raw_affiliation_strings":["Osaka University, Japan,Riken-CCS,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University, Japan,Riken-CCS,Japan","institution_ids":["https://openalex.org/I4210147624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008352007","display_name":"Moustafa Youssef","orcid":"https://orcid.org/0000-0002-2063-4364"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Moustafa Youssef","raw_affiliation_strings":["The American University in Cairo,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The American University in Cairo,Egypt","institution_ids":["https://openalex.org/I80693520"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28089533,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.5127999782562256,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.5127999782562256,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.289000004529953,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.01860000006854534,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/federated-learning","display_name":"Federated learning","score":0.6403999924659729},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.5705999732017517},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5120999813079834},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.362199991941452},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.34929999709129333},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.335999995470047},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.323199987411499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587000131607056},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6403999924659729},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.5705999732017517},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5120999813079834},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4675999879837036},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.362199991941452},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3246999979019165},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31470000743865967},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3027999997138977},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2687000036239624},{"id":"https://openalex.org/C2986046992","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Information aggregation","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icmu65253.2025.11219167","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icmu65253.2025.11219167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fifteenth International Conference on Mobile Computing and Ubiquitous Networking (ICMU)","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":24,"referenced_works":["https://openalex.org/W1630879738","https://openalex.org/W2028082528","https://openalex.org/W2129239253","https://openalex.org/W2766657463","https://openalex.org/W2963539531","https://openalex.org/W2970476308","https://openalex.org/W2979592148","https://openalex.org/W3011320190","https://openalex.org/W3021789920","https://openalex.org/W3030669241","https://openalex.org/W3046167303","https://openalex.org/W3097072081","https://openalex.org/W3106907088","https://openalex.org/W3112044954","https://openalex.org/W3196371845","https://openalex.org/W4220779061","https://openalex.org/W4312844021","https://openalex.org/W4386608426","https://openalex.org/W4391341345","https://openalex.org/W4392745106","https://openalex.org/W4393185230","https://openalex.org/W4394711881","https://openalex.org/W4396754469","https://openalex.org/W4401070011"],"related_works":[],"abstract_inverted_index":{"Indoor":[0],"localization":[1,29],"plays":[2],"a":[3,8,53,72],"pivotal":[4],"role":[5],"in":[6,31],"supporting":[7],"wide":[9],"array":[10],"of":[11,38,103],"location-based":[12],"services,":[13],"including":[14],"navigation,":[15],"security,":[16],"and":[17,40,45,65,114],"context-aware":[18],"computing":[19],"within":[20],"intricate":[21],"indoor":[22,28],"environments.":[23],"Despite":[24],"considerable":[25],"advancements,":[26],"deploying":[27],"systems":[30],"real-world":[32,122],"scenarios":[33],"remains":[34],"challenging,":[35],"largely":[36],"because":[37],"non-independent":[39],"identically":[41],"distributed":[42],"(non-IID)":[43],"data":[44,83],"device":[46,68],"heterogeneity.":[47,69],"In":[48],"response,":[49],"we":[50],"propose":[51],"SimDeep,":[52],"novel":[54],"Federated":[55],"Learning":[56],"(FL)":[57],"framework":[58],"explicitly":[59],"crafted":[60],"to":[61],"overcome":[62],"these":[63],"obstacles":[64],"effectively":[66],"manage":[67],"SimDeep":[70,98],"incorporates":[71],"Similarity":[73],"Aggregation":[74],"Strategy,":[75],"which":[76],"aggregates":[77],"client":[78],"model":[79],"updates":[80],"based":[81],"on":[82],"similarity,":[84],"significantly":[85],"alleviating":[86],"the":[87],"issues":[88],"posed":[89],"by":[90],"non-IIID":[91],"data.":[92],"Our":[93],"experimental":[94],"evaluations":[95],"indicate":[96],"that":[97],"achieves":[99],"an":[100],"impressive":[101],"accuracy":[102],"<tex":[104],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\text{9":[106],"2.":[107],"8":[108],"9":[109],"\\%}$</tex>,":[110],"surpassing":[111],"traditional":[112],"federated":[113],"centralized":[115],"techniques,":[116],"thus":[117],"underscoring":[118],"its":[119],"viability":[120],"for":[121],"deployment.":[123]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-06T00:00:00"}
