{"id":"https://openalex.org/W2798919674","doi":"https://doi.org/10.23919/date.2018.8342120","title":"An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era","display_name":"An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2798919674","doi":"https://doi.org/10.23919/date.2018.8342120","mag":"2798919674"},"language":"en","primary_location":{"id":"doi:10.23919/date.2018.8342120","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3518731","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005190949","display_name":"Muhammad Shafique","orcid":"https://orcid.org/0000-0002-2607-8135"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Muhammad Shafique","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041366767","display_name":"Theocharis Theocharides","orcid":"https://orcid.org/0000-0001-7222-9152"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Theocharis Theocharides","raw_affiliation_strings":["University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041150785","display_name":"Christos-Savvas Bouganis","orcid":"https://orcid.org/0000-0002-4906-4510"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christos-Savvas Bouganis","raw_affiliation_strings":["Imperial College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647460","display_name":"Muhammad Abdullah Hanif","orcid":"https://orcid.org/0000-0001-9841-6132"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Muhammad Abdullah Hanif","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074265316","display_name":"Faiq Khalid","orcid":"https://orcid.org/0000-0001-6263-674X"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Faiq Khalid","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000809180","display_name":"Rehan Hafiz","orcid":"https://orcid.org/0000-0002-5062-3068"},"institutions":[{"id":"https://openalex.org/I1323252656","display_name":"Information Technology University","ror":"https://ror.org/00ngv8j44","country_code":"PK","type":"education","lineage":["https://openalex.org/I1323252656"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Rehan Hafiz","raw_affiliation_strings":["Information Technology University, Lahore, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology University, Lahore, Pakistan","institution_ids":["https://openalex.org/I1323252656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058712739","display_name":"Semeen Rehman","orcid":"https://orcid.org/0000-0002-8972-0949"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Semeen Rehman","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"827","last_page":"832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9993000030517578,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9993000030517578,"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":0.9987999796867371,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7611706256866455},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7493782043457031},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7343676090240479},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5265037417411804},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5100082159042358},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.47994402050971985},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.461175799369812},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45287877321243286},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44902241230010986},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4422370195388794},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44019782543182373},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4361329972743988},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42195630073547363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41210055351257324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3559677302837372},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3291690945625305},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.3021025061607361},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.298234224319458},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2335399091243744},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16266870498657227},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13220036029815674},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11098748445510864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7611706256866455},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7493782043457031},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7343676090240479},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5265037417411804},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5100082159042358},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.47994402050971985},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.461175799369812},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45287877321243286},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44902241230010986},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4422370195388794},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44019782543182373},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4361329972743988},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42195630073547363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41210055351257324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3559677302837372},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3291690945625305},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3021025061607361},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.298234224319458},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2335399091243744},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16266870498657227},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13220036029815674},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11098748445510864}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/date.2018.8342120","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date.2018.8342120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/63605","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/63605","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"Conference Paper"},{"id":"pmh:oai:zenodo.org:3518731","is_oa":true,"landing_page_url":"https://zenodo.org/record/3518731","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3518731","is_oa":true,"landing_page_url":"https://zenodo.org/record/3518731","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W2000967104","https://openalex.org/W2067523571","https://openalex.org/W2097117768","https://openalex.org/W2101788345","https://openalex.org/W2112980946","https://openalex.org/W2117130368","https://openalex.org/W2117539524","https://openalex.org/W2119144962","https://openalex.org/W2152839228","https://openalex.org/W2163605009","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2209394967","https://openalex.org/W2285660444","https://openalex.org/W2286256158","https://openalex.org/W2435473771","https://openalex.org/W2442974303","https://openalex.org/W2513568085","https://openalex.org/W2516141709","https://openalex.org/W2535873859","https://openalex.org/W2563468918","https://openalex.org/W2565125333","https://openalex.org/W2593564159","https://openalex.org/W2603766943","https://openalex.org/W2604319603","https://openalex.org/W2606722458","https://openalex.org/W2727238169","https://openalex.org/W2740455604","https://openalex.org/W2746669491","https://openalex.org/W2747122248","https://openalex.org/W2748789698","https://openalex.org/W2753783305","https://openalex.org/W2919115771","https://openalex.org/W2962752334","https://openalex.org/W2963689459","https://openalex.org/W2963703618","https://openalex.org/W3106250896","https://openalex.org/W4239385313","https://openalex.org/W4241909569","https://openalex.org/W4252979261","https://openalex.org/W6637373629","https://openalex.org/W6684191040","https://openalex.org/W6734592959","https://openalex.org/W6743446608","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4319161913"],"abstract_inverted_index":{"The":[0,121,139],"number":[1],"of":[2,5,36,65,72,92,101],"connected":[3],"Internet":[4],"Things":[6],"(IoT)":[7],"devices":[8],"are":[9,34],"expected":[10],"to":[11,30,76],"reach":[12],"over":[13],"20":[14],"billion":[15],"by":[16,131],"2020.":[17],"These":[18],"range":[19],"from":[20],"basic":[21],"sensor":[22],"nodes":[23],"that":[24,33,145],"log":[25],"and":[26,41,48,81,104,113,127,153,158],"report":[27],"the":[28,31,38,54,68,102,124,132,150,167],"data":[29,94],"ones":[32],"capable":[35],"processing":[37,57,61],"incoming":[39],"information":[40],"taking":[42],"an":[43,99],"action":[44],"accordingly.":[45],"Machine":[46],"learning,":[47,52],"in":[49,107,134,148],"particular":[50],"deep":[51],"is":[53],"de":[55],"facto":[56],"paradigm":[58],"for":[59,90,118,162],"intelligently":[60],"these":[62],"immense":[63],"volumes":[64],"data.":[66],"However,":[67],"resource":[69],"inhibited":[70],"environment":[71],"IoT":[73],"devices,":[74],"owing":[75],"their":[77],"limited":[78],"energy":[79,159],"budget":[80],"low":[82],"compute":[83],"capabilities,":[84],"render":[85],"them":[86],"a":[87,143],"challenging":[88],"platform":[89],"deployment":[91],"desired":[93,137],"analytics.":[95],"This":[96],"paper":[97,122,140],"provides":[98],"overview":[100],"current":[103],"emerging":[105],"trends":[106],"designing":[108,155],"highly":[109],"efficient,":[110],"reliable,":[111],"secure":[112],"scalable":[114],"machine":[115,164],"learning":[116,165],"architectures":[117,161],"such":[119],"devices.":[120],"highlights":[123],"focal":[125],"challenges":[126,152],"obstacles":[128],"being":[129],"faced":[130],"community":[133],"achieving":[135],"its":[136],"goals.":[138],"further":[141],"presents":[142],"roadmap":[144],"can":[146],"help":[147],"addressing":[149],"highlighted":[151],"thereby":[154],"scalable,":[156],"high-performance,":[157],"efficient":[160],"performing":[163],"on":[166],"edge.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}