{"id":"https://openalex.org/W3193775719","doi":"https://doi.org/10.14264/cd1a694","title":"Lightweight and Secure Deep Learning-based Mobile Recommender Systems","display_name":"Lightweight and Secure Deep Learning-based Mobile Recommender Systems","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3193775719","doi":"https://doi.org/10.14264/cd1a694","mag":"3193775719"},"language":"en","primary_location":{"id":"doi:10.14264/cd1a694","is_oa":false,"landing_page_url":"https://doi.org/10.14264/cd1a694","pdf_url":null,"source":{"id":"https://openalex.org/S7407053192","display_name":"The University of Queensland","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The University of Queensland","raw_type":"dissertation"},"type":"dissertation","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"last","author":{"id":"https://openalex.org/A5065191560","display_name":"Qinyong Wang","orcid":"https://orcid.org/0000-0002-8913-2696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qinyong Wang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/recommender-system","display_name":"Recommender system","score":0.8089388608932495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7543301582336426},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7279208898544312},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6807057857513428},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5947954058647156},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5570780634880066},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5028833746910095},{"id":"https://openalex.org/keywords/mobile-cloud-computing","display_name":"Mobile cloud computing","score":0.4538499116897583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4396613538265228},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.41780680418014526},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.37227654457092285},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3438476324081421},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14023572206497192}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8089388608932495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543301582336426},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7279208898544312},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6807057857513428},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5947954058647156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5570780634880066},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5028833746910095},{"id":"https://openalex.org/C2779191767","wikidata":"https://www.wikidata.org/wiki/Q6887075","display_name":"Mobile cloud computing","level":3,"score":0.4538499116897583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4396613538265228},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.41780680418014526},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.37227654457092285},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3438476324081421},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14023572206497192},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14264/cd1a694","is_oa":false,"landing_page_url":"https://doi.org/10.14264/cd1a694","pdf_url":null,"source":{"id":"https://openalex.org/S7407053192","display_name":"The University of Queensland","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The University of Queensland","raw_type":"dissertation"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2034905385","https://openalex.org/W2048100608","https://openalex.org/W3150868077","https://openalex.org/W4281385823","https://openalex.org/W2189508715","https://openalex.org/W3194052956","https://openalex.org/W4312728238","https://openalex.org/W2282963174","https://openalex.org/W1535946264","https://openalex.org/W2090296580"],"abstract_inverted_index":{"As":[0,93,327],"mobile":[1,24,38,121,156,198,256,312,336,365,408,411,423,493],"devices,":[2,122],"such":[3,215,273,320],"as":[4,64,321,378,431],"smartphones":[5],"and":[6,11,144,150,174,220,239,253,265,293,338,344,385,403,437,462,481,495,536,548,552,558],"wearable":[7],"watches,":[8],"gain":[9],"popularity":[10],"become":[12],"an":[13],"indispensable":[14],"part":[15],"of":[16,36,57,120,179,213,232,284,296,329,471],"our":[17],"daily":[18],"life,":[19],"people":[20],"interact":[21],"with":[22,49,289],"extensive":[23],"applications":[25,39],"every":[26],"day":[27],"for":[28,83,334],"different":[29],"purposes.":[30],"While":[31],"there":[32],"are":[33,103,141,167,226,237,251,258,386,414,425,448,474,509],"a":[34,65,80,94,229,357,496,512,518,537,550],"lot":[35],"similar":[37],"in":[40,68,100,133,347,491],"the":[41,55,72,123,128,139,180,282,294,300,307,339,458,478,504,524,561,570],"same":[42],"category":[43],"that":[44,189,235,281,522],"need":[45],"to":[46,52,89,118,155,169,185,201,268,306,314,325,355,360,394,405,416,427,456,476,486,489,501,511,529,532,541,556,569],"intensely":[47],"compete":[48],"each":[50],"other":[51,73],"stand":[53],"out,":[54],"performance":[56],"their":[58,69,90,316,368],"personalized":[59,111],"recommender":[60,85,98,115,412],"system":[61],"is":[62,126,234,279,349,353],"considered":[63],"major":[66],"factor":[67],"success.":[70],"On":[71],"hand,":[74],"deep":[75,105,372],"learning":[76,247],"(DL)":[77],"has":[78],"been":[79],"trending":[81],"technique":[82],"developing":[84],"systems":[86,99,116,413],"recently":[87],"due":[88],"outstanding":[91],"effectiveness.":[92],"result,":[95],"most":[96,129,422],"state-of-the-art":[97],"real-world":[101,134],"scenarios":[102],"already":[104],"learning-based.":[106],"To":[109],"deliver":[110],"results":[112,154],"from":[113,418,526],"DL-based":[114],"(DLRSs)":[117],"users":[119,157,313,337,366,424],"cloud-based":[124,165,181],"paradigm":[125,166],"currently":[127],"commonly":[130],"adopted":[131],"solution":[132,359],"scenarios.":[135],"In":[136],"this":[137,164,446,472],"paradigm,":[138,182],"DLRSs":[140,161,188,233,285,297,362,488],"first":[142],"trained":[143,196],"deployed":[145],"on":[146,158,197,389,407],"powerful":[147],"cloud":[148,527],"servers,":[149],"then":[151,463],"generate":[152],"recommendation":[153],"demand.":[159],"However,":[160,255,410],"running":[162,214,270],"within":[163],"subject":[168,426],"network":[170],"bottlenecks,":[171],"privacy":[172,331],"issues":[173],"energy":[175],"consumption.":[176],"Therefore,":[177,277],"instead":[178],"we":[183],"propose":[184],"develop":[186,464],"lightweight":[187],"can":[190,438],"securely":[191],"run":[192,406],"or":[193,271,434],"even":[194],"be":[195,287],"devices":[199,257,494,531],"locally":[200],"avoid":[202],"those":[203],"problems.":[204],"This":[207],"thesis":[208,473],"identifies":[209],"several":[210],"critical":[211],"challenges":[212,480],"novel":[216,223],"local":[217,530],"DLRS":[218,308,521],"services":[219],"proposes":[221],"corresponding":[222],"solutions,":[224],"which":[225,398,508],"three-fold.":[227],"First,":[228],"well-known":[230],"drawback":[231],"they":[236,250,261,454],"large":[238,275],"have":[240],"many":[241],"more":[242],"parameters":[243],"than":[244],"conventional":[245],"machine":[246],"methods,":[248],"hence":[249],"memory-":[252],"computation-intensive.":[254],"resource-constrained,":[259],"i.e.,":[260],"lack":[262],"abundant":[263],"computation":[264,301],"storage":[266],"capacities":[267],"support":[269],"training":[272,309,499,525],"complex":[274],"models.":[276,466],"it":[278,346],"expected":[280],"size":[283],"should":[286,298],"compatible":[288],"limited":[290,441],"memory":[291],"space":[292],"complexity":[295],"suit":[299],"power.":[302],"Second,":[303],"existing":[304],"approaches":[305],"process":[310],"require":[311],"upload":[315],"sensitive":[317],"personal":[318,330],"data,":[319,324],"check-in":[322],"history":[323],"servers.":[326],"awareness":[328],"rises":[332],"rapidly":[333],"both":[335],"public,":[340],"obtaining":[341],"user":[342],"data":[343,393,419,562],"storing":[345],"servers":[348,528],"getting":[350],"difficult.":[351],"It":[352],"practical":[354],"devise":[356],"privacy-by-design":[358],"train":[361],"while":[363],"letting":[364],"keep":[367],"own":[369],"data.":[370],"Third,":[371],"pure":[373],"collaborative":[374],"filtering":[375],"(CF)":[376],"models,":[377],"representative":[379],"DLRSs,":[380],"use":[381],"simple":[382],"neural":[383],"structures":[384],"only":[387,439],"dependent":[388],"large-scale":[390],"user-item":[391,571],"interaction":[392,572],"achieve":[395],"good":[396],"performance,":[397,507],"make":[399],"them":[400],"quite":[401],"efficient":[402,450],"suitable":[404],"devices.":[409],"known":[415],"suffer":[417],"sparsity":[420,563],"since":[421],"access":[428],"constraints":[429,433],"(such":[430],"physical":[432],"time":[435],"constraints)":[436],"visit":[440],"items.":[442],"Existing":[443],"studies":[444],"addressing":[445],"problem":[447,564],"neither":[449],"nor":[451],"generic":[452,551],"because":[453],"tend":[455],"incorporate":[457],"user/item":[459],"features":[460],"available":[461],"ad-hoc":[465],"The":[469],"contributions":[470],"made":[475],"address":[477],"aforementioned":[479],"comprise":[482],"of:":[483],"(i)":[484],"methodologies":[485],"compress":[487],"fit":[490],"resource-constrained":[492],"knowledge":[497],"distillation-based":[498],"algorithm":[500],"substantially":[502],"improve":[503],"compressed":[505],"model":[506,555],"applied":[510],"next":[513],"point-of-interest":[514],"(POI)":[515],"DLRS,":[516],"(ii)":[517],"federated":[519],"learning-based":[520],"moves":[523],"protect":[533],"users'":[534],"privacy,":[535],"differential":[538],"privacy-based":[539],"mechanism":[540],"defend":[542],"against":[543],"potential":[544],"malicious":[545],"participating":[546],"users,":[547],"(iii)":[549],"end-to-end":[553],"collaborated":[554],"efficiently":[557],"effectively":[559],"alleviate":[560],"by":[565],"generating":[566],"reliable":[567],"augmentation":[568],"datasets.":[573]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2021-08-30T00:00:00"}