{"id":"https://openalex.org/W4206335711","doi":"https://doi.org/10.1109/tmc.2021.3137017","title":"Dynamic Task Allocation for Mobile Edge Learning","display_name":"Dynamic Task Allocation for Mobile Edge Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4206335711","doi":"https://doi.org/10.1109/tmc.2021.3137017"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2021.3137017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2021.3137017","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-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/A5061493358","display_name":"Umair Mohammad","orcid":"https://orcid.org/0000-0002-4499-548X"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Umair Mohammad","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, 5450 Miami, Florida, United States, (e-mail: umohamma@fiu.edu)"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, 5450 Miami, Florida, United States, (e-mail: umohamma@fiu.edu)","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034181427","display_name":"Sameh Sorour","orcid":"https://orcid.org/0000-0002-3936-7833"},"institutions":[{"id":"https://openalex.org/I4210096394","display_name":"Queens University","ror":"https://ror.org/00strmv13","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210096394"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sameh Sorour","raw_affiliation_strings":["School of Computing, Queens University, Kingston, Ontario, Canada, K7L 3N6 (e-mail: sameh.sorour@queensu.ca)"],"affiliations":[{"raw_affiliation_string":"School of Computing, Queens University, Kingston, Ontario, Canada, K7L 3N6 (e-mail: sameh.sorour@queensu.ca)","institution_ids":["https://openalex.org/I4210096394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057692968","display_name":"Mohamed Hefeida","orcid":"https://orcid.org/0000-0003-4738-9415"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Hefeida","raw_affiliation_strings":["Computer Science and Electrical Engineering, West Virginia University, 5631 Morgantown, West Virginia, United States, (e-mail: mohamed.hefeida@mail.wvu.edu)"],"affiliations":[{"raw_affiliation_string":"Computer Science and Electrical Engineering, West Virginia University, 5631 Morgantown, West Virginia, United States, (e-mail: mohamed.hefeida@mail.wvu.edu)","institution_ids":["https://openalex.org/I12097938"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061493358"],"corresponding_institution_ids":["https://openalex.org/I19700959"],"apc_list":null,"apc_paid":null,"fwci":1.0697,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79196839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994999766349792,"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":0.9994999766349792,"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/T13553","display_name":"Age of Information Optimization","score":0.9991999864578247,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9990000128746033,"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/karush\u2013kuhn\u2013tucker-conditions","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","score":0.8455533981323242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8196801543235779},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.6509096622467041},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.615929901599884},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6153980493545532},{"id":"https://openalex.org/keywords/lagrangian-relaxation","display_name":"Lagrangian relaxation","score":0.6005587577819824},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5903975367546082},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5399982333183289},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5390059947967529},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.49996280670166016},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.48221075534820557},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4684469997882843},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3769718408584595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17980027198791504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12096065282821655}],"concepts":[{"id":"https://openalex.org/C50454189","wikidata":"https://www.wikidata.org/wiki/Q2075125","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","level":2,"score":0.8455533981323242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8196801543235779},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.6509096622467041},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.615929901599884},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6153980493545532},{"id":"https://openalex.org/C91765299","wikidata":"https://www.wikidata.org/wiki/Q3424292","display_name":"Lagrangian relaxation","level":2,"score":0.6005587577819824},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5903975367546082},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5399982333183289},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5390059947967529},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.49996280670166016},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.48221075534820557},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4684469997882843},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3769718408584595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17980027198791504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12096065282821655},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2021.3137017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2021.3137017","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W31615027","https://openalex.org/W264482033","https://openalex.org/W1486787620","https://openalex.org/W2112796928","https://openalex.org/W2113651538","https://openalex.org/W2154740476","https://openalex.org/W2168231600","https://openalex.org/W2259324379","https://openalex.org/W2472333518","https://openalex.org/W2482293012","https://openalex.org/W2624989916","https://openalex.org/W2786793298","https://openalex.org/W2825912445","https://openalex.org/W2907379776","https://openalex.org/W2917732361","https://openalex.org/W2962788286","https://openalex.org/W2962883027","https://openalex.org/W2962950660","https://openalex.org/W2963318081","https://openalex.org/W2963789838","https://openalex.org/W2965871883","https://openalex.org/W2977884619","https://openalex.org/W2987685344","https://openalex.org/W3016378036","https://openalex.org/W3023574229","https://openalex.org/W3045674654","https://openalex.org/W3046101409","https://openalex.org/W3090615085","https://openalex.org/W3109847748","https://openalex.org/W3111182214","https://openalex.org/W3125754493","https://openalex.org/W3160702454","https://openalex.org/W3183931182","https://openalex.org/W4287585192","https://openalex.org/W4318619660","https://openalex.org/W6601301251","https://openalex.org/W6677106874","https://openalex.org/W6684859321","https://openalex.org/W6728757088","https://openalex.org/W6787177489"],"related_works":["https://openalex.org/W4361251304","https://openalex.org/W4324372666","https://openalex.org/W2979760315","https://openalex.org/W4225706866","https://openalex.org/W3024547383","https://openalex.org/W2914646191","https://openalex.org/W3174690704","https://openalex.org/W4210813012","https://openalex.org/W4386004629","https://openalex.org/W2968424451"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"the":[3,13,30,46,59,70,118,123,136,147,152,156,161,174,184],"new":[4],"paradigm":[5],"of":[6,15,48,122,135,155],"Mobile":[7],"Edge":[8],"Learning":[9],"\"MEL\"":[10],"that":[11,57,173],"enables":[12],"implementation":[14],"realistic":[16],"distributed":[17],"machine":[18],"learning":[19],"(DML)":[20],"tasks":[21],"on":[22,116],"wireless":[23,63],"edge":[24],"nodes":[25,65],"while":[26,68],"taking":[27],"into":[28,90],"consideration":[29],"heterogeneous":[31,64],"computing":[32],"and":[33,129,150,182],"networking":[34],"environments.":[35],"Therefore,":[36],"a":[37,55,79,91,113],"heterogeneity":[38,163],"aware":[39],"(HA)":[40],"scheme":[41,159],"is":[42,75,88],"designed":[43],"to":[44,111,146,160],"solve":[45],"problem":[47,74,93],"dynamic":[49],"task":[50,167],"allocation":[51,168],"for":[52],"MEL":[53],"in":[54],"way":[56],"maximizes":[58],"DML":[60],"accuracy":[61,154,187],"over":[62,94],"or":[66],"'learners'":[67],"respecting":[69],"time":[71,179],"constraints.":[72],"The":[73,106,133],"first":[76],"formulated":[77],"as":[78],"quadratically-constrained":[80],"integer":[81],"linear":[82],"program":[83],"(QCILP).":[84],"Being":[85],"NP-hard,":[86],"it":[87],"relaxed":[89],"non-convex":[92],"real":[95],"variables":[96],"which":[97],"can":[98],"be":[99],"solved":[100],"using":[101,126],"commercially":[102],"available":[103],"numerical":[104,148],"solvers.":[105],"relaxation":[107],"also":[108],"allows":[109],"us":[110],"propose":[112],"solution":[114,125,139],"based":[115],"deriving":[117],"analytical":[119,138],"upper":[120],"bounds":[121],"optimal":[124],"Lagrangian":[127],"analysis":[128],"Karush-Kuhn-Tucker":[130],"(KKT)":[131],"conditions.":[132],"merits":[134],"proposed":[137,157],"are":[140],"demonstrated":[141],"by":[142],"comparing":[143,151],"its":[144],"performance":[145],"approaches":[149],"validation":[153,186],"HA":[158,175],"baseline":[162],"unaware":[164],"(HU)":[165],"equal":[166],"approach.":[169],"Simulation":[170],"results":[171],"show":[172],"schemes":[176],"decrease":[177],"convergence":[178],"up-to":[180,188],"56%":[181],"increase":[183],"final":[185],"8%.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}