{"id":"https://openalex.org/W3018835489","doi":"https://doi.org/10.1002/9781119551713.ch3","title":"Deep Learning in the Era of Edge Computing: Challenges and Opportunities","display_name":"Deep Learning in the Era of Edge Computing: Challenges and Opportunities","publication_year":2020,"publication_date":"2020-04-25","ids":{"openalex":"https://openalex.org/W3018835489","doi":"https://doi.org/10.1002/9781119551713.ch3","mag":"3018835489"},"language":"en","primary_location":{"id":"doi:10.1002/9781119551713.ch3","doi":"https://doi.org/10.1002/9781119551713.ch3","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781119551713.ch3","pdf_url":null,"source":{"id":"https://openalex.org/S4306464293","display_name":"Wiley eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fog Computing","raw_type":"other"},"volume":{"id":"https://openalex.org/W4244538451","display_name":"Fog Computing"},"type":"book-chapter","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.08861","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100659123","display_name":"Mi Zhang","orcid":"https://orcid.org/0000-0001-7002-6757","observed_orcids":["https://orcid.org/0000-0001-7002-6757","https://orcid.org/0009-0008-5284-4842"]},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mi Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007287914","display_name":"Faen Zhang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faen Zhang","raw_affiliation_strings":["AInnovation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AInnovation, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045638679","display_name":"Nicholas D. Lane","orcid":"https://orcid.org/0000-0002-2728-8273","observed_orcids":["https://orcid.org/0000-0002-2728-8273"]},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicholas D. Lane","raw_affiliation_strings":["Department of Computer Science, Oxford University, Oxford, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Oxford University, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016472874","display_name":"Yuanchao Shu","orcid":"https://orcid.org/0000-0002-9542-7095","observed_orcids":["https://orcid.org/0000-0002-9542-7095"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanchao Shu","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039845750","display_name":"Xiao Zeng","orcid":"https://orcid.org/0000-0001-5638-6545","observed_orcids":["https://orcid.org/0000-0001-5638-6545"]},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Zeng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017840275","display_name":"Biyi Fang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biyi Fang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101486906","display_name":"Yan Shen","orcid":"https://orcid.org/0000-0002-8099-8960","observed_orcids":["https://orcid.org/0000-0002-8099-8960"]},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shen Yan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077533270","display_name":"Hui Fang Xu","orcid":"https://orcid.org/0000-0003-2970-3984","observed_orcids":["https://orcid.org/0000-0003-2970-3984"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Xu","raw_affiliation_strings":["AInnovation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AInnovation, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.3601,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.99506961,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9980000257492065,"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":0.9980000257492065,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0007999999797903001,"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/T14098","display_name":"Energy Efficiency in Computing","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/edge-computing","display_name":"edge computing","score":0.9470000267028809},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.9169999957084656},{"id":"https://openalex.org/keywords/edge-devices","display_name":"edge devices","score":0.753000020980835},{"id":"https://openalex.org/keywords/resource-constrained-devices","display_name":"resource-constrained devices","score":0.8820000290870667},{"id":"https://openalex.org/keywords/sensor-data","display_name":"sensor data","score":0.6100000143051147},{"id":"https://openalex.org/keywords/power-consumption","display_name":"power consumption","score":0.8429999947547913}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7200993895530701},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.7159106731414795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032478451728821},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6652776002883911},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6087071895599365},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5653177499771118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5559440851211548},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5416960716247559},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.49660545587539673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3276679217815399},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20276647806167603},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.18808460235595703},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1002/9781119551713.ch3","doi":"https://doi.org/10.1002/9781119551713.ch3","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781119551713.ch3","pdf_url":null,"source":{"id":"https://openalex.org/S4306464293","display_name":"Wiley eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fog Computing","raw_type":"other"},{"id":"pmh:oai:arXiv.org:2010.08861","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.08861","pdf_url":"https://arxiv.org/pdf/2010.08861","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},{"id":"doi:10.48550/arxiv.2010.08861","doi":"https://doi.org/10.48550/arxiv.2010.08861","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.08861","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.08861","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.08861","pdf_url":"https://arxiv.org/pdf/2010.08861","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"sustainable_development_goals":[{"score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3018835489.pdf","grobid_xml":"https://content.openalex.org/works/W3018835489.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1899185266","https://openalex.org/W1959608418","https://openalex.org/W2062797058","https://openalex.org/W2096733369","https://openalex.org/W2119144962","https://openalex.org/W2133564696","https://openalex.org/W2134670479","https://openalex.org/W2145287260","https://openalex.org/W2160815625","https://openalex.org/W2194775991","https://openalex.org/W2337546824","https://openalex.org/W2392395307","https://openalex.org/W2416799949","https://openalex.org/W2511743527","https://openalex.org/W2515385951","https://openalex.org/W2519804223","https://openalex.org/W2553915786","https://openalex.org/W2568772110","https://openalex.org/W2595840341","https://openalex.org/W2597851033","https://openalex.org/W2612445135","https://openalex.org/W2625731802","https://openalex.org/W2788495578","https://openalex.org/W2897268228","https://openalex.org/W2913340405","https://openalex.org/W2919115771","https://openalex.org/W2951004968","https://openalex.org/W2963996492","https://openalex.org/W2964299589","https://openalex.org/W2964308564","https://openalex.org/W4251607986"],"related_works":["https://openalex.org/W4226269263","https://openalex.org/W3047502279","https://openalex.org/W2981826164","https://openalex.org/W2960833983","https://openalex.org/W2889292885","https://openalex.org/W3013557734","https://openalex.org/W4293567232","https://openalex.org/W4313416696","https://openalex.org/W2936643080","https://openalex.org/W7134191566"],"abstract_inverted_index":{"The":[0],"era":[1],"of":[2,13,23,45,66,77,97,117,135,138],"edge":[3,14,46,110],"computing":[4],"has":[5],"arrived.":[6],"Although":[7],"the":[8,11,21,33,40,43,95,114,133,136],"Internet":[9],"is":[10],"backbone":[12],"computing,":[15],"its":[16],"true":[17],"value":[18],"lies":[19],"at":[20,94],"intersection":[22,96],"gathering":[24],"data":[25,68],"from":[26,32],"sensors":[27],"and":[28,71,80,91,101],"extracting":[29],"meaningful":[30],"information":[31],"sensor":[34],"data.":[35],"We":[36,120],"envision":[37],"that":[38,128],"in":[39,75],"near":[41],"future,":[42],"majority":[44],"devices":[47,111],"will":[48,107,129],"be":[49],"equipped":[50],"with":[51],"machine":[52,102],"intelligence":[53],"powered":[54],"by":[55],"deep":[56,59,118],"learning.":[57,103,119],"However,":[58],"learning\u2013based":[60],"approaches":[61],"require":[62],"a":[63],"large":[64],"volume":[65],"high-quality":[67],"to":[69,112,132],"train":[70],"are":[72],"very":[73],"expensive":[74],"terms":[76],"computation,":[78],"memory,":[79],"power":[81],"consumption.":[82],"In":[83],"this":[84,122],"chapter,":[85],"we":[86],"describe":[87],"eight":[88],"research":[89,127],"challenges":[90,106],"promising":[92],"opportunities":[93],"computer":[98],"systems,":[99],"networking,":[100],"Solving":[104],"those":[105],"enable":[108],"resource-limited":[109],"leverage":[113],"amazing":[115],"capability":[116],"hope":[121],"chapter":[123],"could":[124],"inspire":[125],"new":[126],"eventually":[130],"lead":[131],"realization":[134],"vision":[137],"intelligent":[139],"edge.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-05-01T00:00:00"}