{"id":"https://openalex.org/W4289305285","doi":"https://doi.org/10.1145/3274783.3274840","title":"FastDeepIoT","display_name":"FastDeepIoT","publication_year":2018,"publication_date":"2018-10-26","ids":{"openalex":"https://openalex.org/W4289305285","doi":"https://doi.org/10.1145/3274783.3274840"},"language":"en","primary_location":{"id":"doi:10.1145/3274783.3274840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3274783.3274840","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3274783.3274840","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3274783.3274840","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005026261","display_name":"Shuochao Yao","orcid":"https://orcid.org/0000-0002-4070-6345"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shuochao Yao","raw_affiliation_strings":["University of Illinois Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110759003","display_name":"Yiran Zhao","orcid":"https://orcid.org/0009-0006-8514-192X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiran Zhao","raw_affiliation_strings":["University of Illinois Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100569269","display_name":"Huajie Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huajie Shao","raw_affiliation_strings":["University of Illinois Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026906011","display_name":"Shengzhong Liu","orcid":"https://orcid.org/0000-0002-7643-7239"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ShengZhong Liu","raw_affiliation_strings":["University of Illinois Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101762197","display_name":"Dongxin Liu","orcid":"https://orcid.org/0000-0003-4958-6949"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongxin Liu","raw_affiliation_strings":["University of Illinois Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732938","display_name":"L\u00fc Su","orcid":"https://orcid.org/0000-0001-7223-543X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Su","raw_affiliation_strings":["State University of New York at Buffalo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087114395","display_name":"Tarek Abdelzaher","orcid":"https://orcid.org/0000-0003-3883-7220"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tarek Abdelzaher","raw_affiliation_strings":["University of Illinois Urbana, Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana, Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005026261"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":11.6535,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.9868228,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9973000288009644,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8657853603363037},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6526349782943726},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5933444499969482},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5766280889511108},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5346900820732117},{"id":"https://openalex.org/keywords/nexus","display_name":"Nexus (standard)","score":0.5294346809387207},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.48525047302246094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4488447606563568},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.44081175327301025},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.43077701330184937},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.43032899498939514},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4251544177532196},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3528152108192444},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3472530245780945},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17919042706489563},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14324238896369934},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10928136110305786},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0894092321395874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8657853603363037},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6526349782943726},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5933444499969482},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5766280889511108},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5346900820732117},{"id":"https://openalex.org/C148609458","wikidata":"https://www.wikidata.org/wiki/Q7021281","display_name":"Nexus (standard)","level":2,"score":0.5294346809387207},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.48525047302246094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4488447606563568},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.44081175327301025},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43077701330184937},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.43032899498939514},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4251544177532196},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3528152108192444},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3472530245780945},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17919042706489563},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14324238896369934},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10928136110305786},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0894092321395874}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3274783.3274840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3274783.3274840","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3274783.3274840","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1809.06970","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.06970","pdf_url":"https://arxiv.org/pdf/1809.06970","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3274783.3274840","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3274783.3274840","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3274783.3274840","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.75}],"awards":[{"id":"https://openalex.org/G5969598952","display_name":null,"funder_award_id":"W911NF-09-2-0053, W911NF-17-2-0196","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G6152603095","display_name":null,"funder_award_id":"CNS 16-18627, CNS 13-20209","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1552635117","https://openalex.org/W1678356000","https://openalex.org/W1966672755","https://openalex.org/W1981276685","https://openalex.org/W1983623559","https://openalex.org/W1997430507","https://openalex.org/W2023923947","https://openalex.org/W2026682405","https://openalex.org/W2047539221","https://openalex.org/W2055483942","https://openalex.org/W2057907879","https://openalex.org/W2115205099","https://openalex.org/W2116790923","https://openalex.org/W2121775913","https://openalex.org/W2135226278","https://openalex.org/W2163219925","https://openalex.org/W2339175874","https://openalex.org/W2526147983","https://openalex.org/W2546536770","https://openalex.org/W2553915786","https://openalex.org/W2559655401","https://openalex.org/W2595691399","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2724359148","https://openalex.org/W2754395205","https://openalex.org/W2777460464","https://openalex.org/W2781729860","https://openalex.org/W2793546538","https://openalex.org/W2804686008","https://openalex.org/W2891048219","https://openalex.org/W2911964244","https://openalex.org/W2963521844","https://openalex.org/W2963728985","https://openalex.org/W4297957988","https://openalex.org/W4394670654","https://openalex.org/W6680532697"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W3126909309","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4256360871","https://openalex.org/W4312814274","https://openalex.org/W2747100754","https://openalex.org/W4285370786"],"abstract_inverted_index":{"Deep":[0],"neural":[1,40,50,89,137,203],"networks":[2,138],"show":[3,47],"great":[4],"potential":[5],"as":[6,62],"solutions":[7],"to":[8,26,43,99,171,209,216],"many":[9],"sensing":[10],"application":[11],"problems,":[12],"but":[13],"their":[14],"excessive":[15],"resource":[16],"demand":[17],"slows":[18],"down":[19],"execution":[20,63,93,109,132,173,205],"time,":[21,94],"pausing":[22],"a":[23,78,167],"serious":[24],"impediment":[25],"deployment":[27],"on":[28,38,113,139,175,190],"low-end":[29],"devices.":[30,117],"To":[31],"address":[32],"this":[33],"challenge,":[34],"recent":[35],"literature":[36],"focused":[37],"compressing":[39],"network":[41,51,72,90,101,204],"size":[42,52],"improve":[44,105],"performance.":[45],"We":[46,182],"that":[48,83,97,103],"changing":[49],"does":[53],"not":[54],"proportionally":[55],"affect":[56],"performance":[57],"attributes":[58],"of":[59,149,158],"interest,":[60],"such":[61],"time.":[64],"Rather,":[65],"extreme":[66],"run-time":[67],"nonlinearities":[68],"exist":[69],"over":[70],"the":[71,85,106,140,151,155,159,176,202,220],"configuration":[73],"space.":[74],"Hence,":[75],"we":[76],"propose":[77],"novel":[79],"framework,":[80],"called":[81],"FastDeepIoT,":[82],"uncovers":[84],"non-linear":[86],"relation":[87],"between":[88,108],"structure":[91],"and":[92,111,115,129,196,211],"then":[95],"exploits":[96],"understanding":[98],"find":[100],"configurations":[102],"significantly":[104],"trade-off":[107],"time":[110,133,174,206],"accuracy":[112],"mobile":[114,192],"embedded":[116],"FastDeepIoT":[118,124,165,184,199],"makes":[119],"two":[120,191],"key":[121],"contributions.":[122],"First,":[123],"automatically":[125],"learns":[126],"an":[127],"accurate":[128],"highly":[130],"interpretable":[131],"model":[134],"for":[135],"deep":[136,161],"target":[141],"device.":[142],"This":[143],"is":[144],"done":[145],"without":[146,179],"prior":[147],"knowledge":[148],"either":[150],"hardware":[152],"specifications":[153],"or":[154],"detailed":[156],"implementation":[157],"used":[160],"learning":[162],"library.":[163],"Second,":[164],"informs":[166],"compression":[168,222],"algorithm":[169],"how":[170],"minimize":[172],"profiled":[177],"device":[178],"impacting":[180],"accuracy.":[181],"evaluate":[183],"using":[185],"three":[186],"different":[187],"sensing-related":[188],"tasks":[189],"devices:":[193],"Nexus":[194],"5":[195],"Galaxy":[197],"Nexus.":[198],"further":[200],"reduces":[201],"by":[207,214],"48%":[208],"78%":[210],"energy":[212],"consumption":[213],"37%":[215],"69%":[217],"compared":[218],"with":[219],"state-of-the-art":[221],"algorithms.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":11}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2022-08-02T00:00:00"}
