{"id":"https://openalex.org/W3137174978","doi":"https://doi.org/10.1109/bigdata50022.2020.9377873","title":"A Framework for Edge-Assisted Healthcare Data Analytics using Federated Learning","display_name":"A Framework for Edge-Assisted Healthcare Data Analytics using Federated Learning","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3137174978","doi":"https://doi.org/10.1109/bigdata50022.2020.9377873","mag":"3137174978"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9377873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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/A5075610474","display_name":"Saqib Hakak","orcid":"https://orcid.org/0000-0002-8718-0336"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Saqib Hakak","raw_affiliation_strings":["University of New Brunswick,Faculty of Computer Science,Fredericton,Canada","Faculty of Computer Science, University of New Brunswick, Fredericton, Canada"],"affiliations":[{"raw_affiliation_string":"University of New Brunswick,Faculty of Computer Science,Fredericton,Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Faculty of Computer Science, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009118014","display_name":"Suprio Ray","orcid":"https://orcid.org/0000-0003-0681-9685"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Suprio Ray","raw_affiliation_strings":["University of New Brunswick,Faculty of Computer Science,Fredericton,Canada","Faculty of Computer Science, University of New Brunswick, Fredericton, Canada"],"affiliations":[{"raw_affiliation_string":"University of New Brunswick,Faculty of Computer Science,Fredericton,Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Faculty of Computer Science, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091305250","display_name":"Wazir Zada Khan","orcid":"https://orcid.org/0000-0003-0819-4236"},"institutions":[{"id":"https://openalex.org/I91450128","display_name":"Jazan University","ror":"https://ror.org/02bjnq803","country_code":"SA","type":"education","lineage":["https://openalex.org/I91450128"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Wazir Zada Khan","raw_affiliation_strings":["Jazan University,Department of CS & IS,Jazan,Saudi Arabia","Department of CS & IS, Jazan University, Jazan, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Jazan University,Department of CS & IS,Jazan,Saudi Arabia","institution_ids":["https://openalex.org/I91450128"]},{"raw_affiliation_string":"Department of CS & IS, Jazan University, Jazan, Saudi Arabia","institution_ids":["https://openalex.org/I91450128"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025818642","display_name":"Erik Scheme","orcid":"https://orcid.org/0000-0002-4421-1016"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Erik Scheme","raw_affiliation_strings":["University of New Brunswick,Electrical and Computer Engineering,Fredericton,Canada","Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada"],"affiliations":[{"raw_affiliation_string":"University of New Brunswick,Electrical and Computer Engineering,Fredericton,Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075610474"],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":4.7722,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.95878403,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3423","last_page":"3427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11446","display_name":"Mobile Health and mHealth Applications","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7586067914962769},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6526097059249878},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6467506885528564},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6278061866760254},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.62388676404953},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6196852922439575},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5874088406562805},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4989321231842041},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4813271760940552},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45955929160118103},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.4579530954360962},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4353969395160675},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4319920241832733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25620919466018677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13084998726844788},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10793498158454895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586067914962769},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6526097059249878},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6467506885528564},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6278061866760254},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.62388676404953},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6196852922439575},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5874088406562805},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4989321231842041},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4813271760940552},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45955929160118103},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.4579530954360962},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4353969395160675},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4319920241832733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25620919466018677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13084998726844788},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10793498158454895},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9377873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2395375311","https://openalex.org/W2767079719","https://openalex.org/W2904773330","https://openalex.org/W2915771847","https://openalex.org/W2946559073","https://openalex.org/W2971226509","https://openalex.org/W2972480120","https://openalex.org/W2983748013","https://openalex.org/W3012501605","https://openalex.org/W3022175079","https://openalex.org/W3023313059","https://openalex.org/W3085990892","https://openalex.org/W3086590218","https://openalex.org/W3086809868","https://openalex.org/W6769447010"],"related_works":["https://openalex.org/W4285587629","https://openalex.org/W2765158217","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2756171776","https://openalex.org/W2566526749","https://openalex.org/W2790190351","https://openalex.org/W2007382769"],"abstract_inverted_index":{"With":[0],"the":[1,10,26,70,74,155],"emergence":[2],"of":[3,12,93],"wearable":[4,34],"technology,":[5],"IoT,":[6],"and":[7,48,53,97,137,147],"Edge":[8],"computing,":[9],"nature":[11],"healthcare":[13,71,99],"is":[14],"rapidly":[15],"shifting":[16],"towards":[17],"digital":[18],"health":[19],"aided":[20],"by":[21],"these":[22,51,61,88],"ICT":[23],"technologies.":[24],"At":[25],"same":[27],"time,":[28],"consumer":[29],"devices,":[30],"such":[31,78],"as":[32,41],"smart,":[33],"fitness":[35],"watches":[36],"are":[37],"gaining":[38],"market":[39],"share":[40],"a":[42,94],"way":[43],"to":[44,56,65,115,130,151],"monitor":[45],"physical":[46],"activity":[47],"wellness.":[49],"Despite":[50],"advances,":[52],"their":[54],"ability":[55],"capture":[57],"longitudinal":[58],"behavioural":[59],"patterns,":[60],"devices":[62,79],"have":[63],"yet":[64],"be":[66,81,152],"fully":[67],"leveraged":[68],"within":[69,154],"system.":[72],"If":[73],"user-generated":[75,122],"data":[76,108],"from":[77],"could":[80,90,126],"collected":[82],"without":[83],"com-promising":[84],"an":[85,106],"individual\u2019s":[86],"privacy,":[87],"insights":[89,133],"comprise":[91],"part":[92],"more":[95],"holistic":[96],"preventative":[98],"solution.":[100],"In":[101],"this":[102],"article,":[103],"we":[104],"propose":[105],"Edge-assisted":[107],"analytics":[109],"frame-work":[110],"that":[111],"uses":[112],"Federated":[113],"Learning":[114],"re-train":[116],"local":[117],"machine":[118],"learning":[119],"models":[120,129],"using":[121],"data.":[123],"This":[124],"framework":[125],"leverage":[127],"pre-trained":[128],"extract":[131],"user-customized":[132],"while":[134],"preserving":[135],"privacy":[136],"Cloud":[138],"resources.":[139],"We":[140],"also":[141],"identify":[142],"some":[143],"potential":[144],"application":[145],"scenarios":[146],"discuss":[148],"research":[149],"challenges":[150],"explored":[153],"proposed":[156],"framework.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":5}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
