{"id":"https://openalex.org/W2985891165","doi":"https://doi.org/10.1145/3318216.3363458","title":"Embedded sensory data memory optimization for IoT edge inference with privacy, accuracy, and energy efficiency","display_name":"Embedded sensory data memory optimization for IoT edge inference with privacy, accuracy, and energy efficiency","publication_year":2019,"publication_date":"2019-11-04","ids":{"openalex":"https://openalex.org/W2985891165","doi":"https://doi.org/10.1145/3318216.3363458","mag":"2985891165"},"language":"en","primary_location":{"id":"doi:10.1145/3318216.3363458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318216.3363458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM/IEEE Symposium on Edge Computing","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/A5025175120","display_name":"Jonathon Edstrom","orcid":null},"institutions":[{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]},{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jonathon Edstrom","raw_affiliation_strings":["North Dakota State University"],"affiliations":[{"raw_affiliation_string":"North Dakota State University","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086283949","display_name":"Hritom Das","orcid":null},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]},{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hritom Das","raw_affiliation_strings":["North Dakota State University"],"affiliations":[{"raw_affiliation_string":"North Dakota State University","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059393282","display_name":"Yiwen Xu","orcid":"https://orcid.org/0000-0002-6760-3020"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]},{"id":"https://openalex.org/I125467818","display_name":"Dakota State University","ror":"https://ror.org/016yv6y68","country_code":"US","type":"education","lineage":["https://openalex.org/I125467818"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiwen Xu","raw_affiliation_strings":["North Dakota State University"],"affiliations":[{"raw_affiliation_string":"North Dakota State University","institution_ids":["https://openalex.org/I125467818","https://openalex.org/I57328836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069728349","display_name":"Na Gong","orcid":"https://orcid.org/0000-0002-3297-7436"},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Na Gong","raw_affiliation_strings":["University of South Alabama"],"affiliations":[{"raw_affiliation_string":"University of South Alabama","institution_ids":["https://openalex.org/I83809506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025175120"],"corresponding_institution_ids":["https://openalex.org/I125467818","https://openalex.org/I57328836"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58255434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9801999926567078,"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":0.9801999926567078,"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":0.9775000214576721,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9707000255584717,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.811102569103241},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.7001619338989258},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6365647315979004},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5936819911003113},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5391049981117249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5388602018356323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5299842357635498},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4991581439971924},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4924639165401459},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4882338345050812},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47644904255867004},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.442673921585083},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44073230028152466},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.43072766065597534},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40917032957077026},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3943938910961151},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.35839253664016724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2369897961616516},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14796322584152222},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.144586980342865},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.14261487126350403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.811102569103241},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7001619338989258},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6365647315979004},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5936819911003113},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5391049981117249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5388602018356323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5299842357635498},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4991581439971924},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4924639165401459},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4882338345050812},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47644904255867004},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.442673921585083},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44073230028152466},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.43072766065597534},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40917032957077026},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3943938910961151},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.35839253664016724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2369897961616516},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14796322584152222},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.144586980342865},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.14261487126350403},{"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:10.1145/3318216.3363458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318216.3363458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3116709161","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3,12,101,150],"learning":[4,13,102,151],"is":[5,53,138,147],"transforming":[6],"many":[7],"modern":[8],"applications.":[9],"For":[10],"example,":[11],"has":[14],"demonstrated":[15],"exceptional":[16],"performance":[17],"in":[18,57],"disease":[19],"diagnosis":[20],"of":[21,27,33,37,44,49,182,187],"brain":[22],"disorders":[23],"and":[24,47,97,128],"various":[25],"forms":[26],"cancers":[28],"due":[29],"to":[30,87,91,120,125,157],"the":[31,42,92,126,158,162,176,180,184,188],"availability":[32],"a":[34,54],"large":[35],"amount":[36],"patients'":[38],"data.":[39],"Meanwhile,":[40],"with":[41,61,71],"advent":[43],"wearable":[45],"technologies":[46],"Internet":[48],"Things":[50],"(IoT),":[51],"there":[52],"rising":[55],"interest":[56],"providing":[58],"personalized":[59],"experience":[60],"health":[62],"recommender":[63],"systems.":[64,189],"Such":[65],"learning-enabled":[66],"benefit,":[67],"however,":[68],"does":[69,164],"come":[70],"its":[72],"own":[73],"cost,":[74],"such":[75],"as":[76],"associated":[77],"serious":[78],"privacy":[79],"concerns.":[80],"Sharing":[81],"personal":[82],"data":[83,110,117,124,137],"carries":[84],"inherent":[85],"risks":[86],"individual":[88],"privacy.":[89],"Due":[90],"substantial":[93],"requirements":[94],"for":[95],"computation":[96,159],"storage":[98],"resources,":[99],"today's":[100],"systems":[103],"are":[104],"typically":[105],"built":[106],"upon":[107],"large,":[108],"centralized":[109],"repositories.":[111],"Based":[112],"on":[113,168],"this":[114],"centralized-training":[115],"paradigm,":[116],"owners":[118],"need":[119],"upload":[121],"their":[122,135],"private":[123,136,149],"provider":[127],"do":[129],"not":[130,165],"have":[131],"control":[132],"over":[133],"how":[134],"being":[139],"used.":[140],"To":[141],"protect":[142],"privacy,":[143],"one":[144],"popular":[145],"technique":[146],"differentially":[148],"algorithms,":[152],"which":[153],"add":[154],"random":[155],"noise":[156],"so":[160],"that":[161],"output":[163],"significantly":[166],"depend":[167],"any":[169],"particular":[170],"training":[171],"sample.":[172],"When":[173],"introducing":[174],"noise,":[175],"privacy-guarantee":[177],"comes":[178],"at":[179],"cost":[181],"compromising":[183],"inference":[185],"accuracy":[186]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}