{"id":"https://openalex.org/W3120574038","doi":"https://doi.org/10.1109/acit50332.2020.9300096","title":"Comparison study between conventional machine learning and distributed multi-task learning models","display_name":"Comparison study between conventional machine learning and distributed multi-task learning models","publication_year":2020,"publication_date":"2020-11-28","ids":{"openalex":"https://openalex.org/W3120574038","doi":"https://doi.org/10.1109/acit50332.2020.9300096","mag":"3120574038"},"language":"en","primary_location":{"id":"doi:10.1109/acit50332.2020.9300096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit50332.2020.9300096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 21st International Arab Conference on Information Technology (ACIT)","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/A5053118726","display_name":"Salam Hamdan","orcid":"https://orcid.org/0000-0001-8345-9033"},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Salam Hamdan","raw_affiliation_strings":["Department of Computer science, Princess Sumaya University for Technology, Amman, Jordan"],"affiliations":[{"raw_affiliation_string":"Department of Computer science, Princess Sumaya University for Technology, Amman, Jordan","institution_ids":["https://openalex.org/I158749337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088989835","display_name":"Sufyan Almajali","orcid":"https://orcid.org/0000-0001-9076-3519"},"institutions":[{"id":"https://openalex.org/I158749337","display_name":"Princess Sumaya University for Technology","ror":"https://ror.org/01jy46q10","country_code":"JO","type":"education","lineage":["https://openalex.org/I158749337"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Sufyan Almajali","raw_affiliation_strings":["Department of Computer science, Princess Sumaya University for Technology, Amman, Jordan"],"affiliations":[{"raw_affiliation_string":"Department of Computer science, Princess Sumaya University for Technology, Amman, Jordan","institution_ids":["https://openalex.org/I158749337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050702557","display_name":"Moussa Ayyash","orcid":"https://orcid.org/0000-0003-0868-143X"},"institutions":[{"id":"https://openalex.org/I74234424","display_name":"Chicago State University","ror":"https://ror.org/05ekwbr88","country_code":"US","type":"education","lineage":["https://openalex.org/I74234424"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moussa Ayyash","raw_affiliation_strings":["Department of Information Studies Chicago State University, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Information Studies Chicago State University, Chicago, IL, USA","institution_ids":["https://openalex.org/I74234424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053118726"],"corresponding_institution_ids":["https://openalex.org/I158749337"],"apc_list":null,"apc_paid":null,"fwci":0.1542,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55367753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8533786535263062},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.766994833946228},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6218836307525635},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5793395042419434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534287095069885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5431259870529175},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5377863049507141},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5307478904724121},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5185359120368958},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4753679633140564},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.4624277651309967},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4602893590927124},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.43455198407173157},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43374815583229065},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.16745197772979736},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13620978593826294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09170272946357727},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08032166957855225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8533786535263062},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.766994833946228},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6218836307525635},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5793395042419434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534287095069885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5431259870529175},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5377863049507141},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5307478904724121},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5185359120368958},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4753679633140564},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.4624277651309967},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4602893590927124},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.43455198407173157},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43374815583229065},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.16745197772979736},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13620978593826294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09170272946357727},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08032166957855225},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit50332.2020.9300096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit50332.2020.9300096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 21st International Arab Conference on Information Technology (ACIT)","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":33,"referenced_works":["https://openalex.org/W4259436","https://openalex.org/W1837982953","https://openalex.org/W2014574262","https://openalex.org/W2028132988","https://openalex.org/W2065668400","https://openalex.org/W2067503796","https://openalex.org/W2099815523","https://openalex.org/W2113469892","https://openalex.org/W2125932763","https://openalex.org/W2130743022","https://openalex.org/W2153457047","https://openalex.org/W2183201255","https://openalex.org/W2262390119","https://openalex.org/W2293247967","https://openalex.org/W2306447822","https://openalex.org/W2317758986","https://openalex.org/W2336677785","https://openalex.org/W2392395307","https://openalex.org/W2416799949","https://openalex.org/W2512201415","https://openalex.org/W2539081363","https://openalex.org/W2541133059","https://openalex.org/W2585277580","https://openalex.org/W2624749297","https://openalex.org/W2735990176","https://openalex.org/W2742079690","https://openalex.org/W2801742018","https://openalex.org/W2804175422","https://openalex.org/W2806493321","https://openalex.org/W2962710015","https://openalex.org/W2964130093","https://openalex.org/W4302411843","https://openalex.org/W6695220819"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313526662","https://openalex.org/W3111395152","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4313463379","https://openalex.org/W3214037210"],"abstract_inverted_index":{"Applying":[0,58],"machine":[1,50,117],"learning":[2,51,61,118,124,135],"in":[3,63,79,90],"IoT":[4,26,34,43,64],"devices":[5,74],"is":[6],"a":[7,54,110,115,121],"challenge":[8],"due":[9],"to":[10,45,48],"various":[11],"reasons,":[12],"such":[13,68],"as":[14,75],"the":[15,23,30,37,41,46,59,85,98,101,104,128,132],"tremendous":[16],"amount":[17],"of":[18,25,33,56,100,103],"data":[19,44],"generated":[20,42,105],"from":[21],"IoT,":[22],"limitation":[24],"devices'":[27],"resources,":[28],"and":[29,88,126],"non-IID":[31],"nature":[32],"data.":[35],"On":[36],"other":[38],"hand,":[39],"transferring":[40],"cloud":[47,77],"train":[49],"models":[52,78],"consumes":[53],"lot":[55],"Bandwidth.":[57],"distributed":[60,122,133],"aspect":[62],"large-scale":[65],"deployments":[66],"solves":[67],"issues,":[69],"by":[70],"employing":[71],"edge":[72],"computing":[73],"local":[76],"each":[80],"location.":[81],"This":[82,107],"solution":[83],"enhances":[84],"network":[86],"overhead":[87],"helps":[89],"obtaining":[91],"general":[92],"models.":[93,106],"However,":[94],"this":[95],"comes":[96],"at":[97],"expense":[99],"accuracy":[102],"paper":[108],"provides":[109],"comparison":[111],"study":[112],"between":[113],"applying":[114],"conventional":[116],"model":[119,125],"with":[120],"multi-task":[123,134],"discusses":[127],"factors":[129],"that":[130],"affect":[131],"model.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}