{"id":"https://openalex.org/W2293587938","doi":"https://doi.org/10.1109/aspdac.2016.7428029","title":"Efficient embedded learning for IoT devices","display_name":"Efficient embedded learning for IoT devices","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2293587938","doi":"https://doi.org/10.1109/aspdac.2016.7428029","mag":"2293587938"},"language":"en","primary_location":{"id":"doi:10.1109/aspdac.2016.7428029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2016.7428029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)","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/A5010094713","display_name":"Swagath Venkataramani","orcid":"https://orcid.org/0000-0002-0470-6364"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Swagath Venkataramani","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031161187","display_name":"Kaushik Roy","orcid":"https://orcid.org/0009-0002-3375-2877"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaushik Roy","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065766721","display_name":"Anand Raghunathan","orcid":"https://orcid.org/0000-0002-4624-564X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand Raghunathan","raw_affiliation_strings":["Purdue University System, West Lafayette, IN, US"],"affiliations":[{"raw_affiliation_string":"Purdue University System, West Lafayette, IN, US","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010094713"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8986,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90050482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.998199999332428,"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":0.7836846709251404},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6379700899124146},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.6240501403808594},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5314176678657532},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4615910053253174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44929778575897217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43494078516960144},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4106464385986328},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.38378655910491943},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36383935809135437},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3389133810997009},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.31996995210647583},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12365153431892395},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10624265670776367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836846709251404},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6379700899124146},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6240501403808594},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5314176678657532},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4615910053253174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44929778575897217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43494078516960144},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4106464385986328},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38378655910491943},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36383935809135437},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3389133810997009},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.31996995210647583},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12365153431892395},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10624265670776367}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aspdac.2016.7428029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2016.7428029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1982780415","https://openalex.org/W1996431812","https://openalex.org/W1998917233","https://openalex.org/W2002150902","https://openalex.org/W2003957094","https://openalex.org/W2009832130","https://openalex.org/W2026005150","https://openalex.org/W2045294186","https://openalex.org/W2053968820","https://openalex.org/W2057434193","https://openalex.org/W2060969833","https://openalex.org/W2097117768","https://openalex.org/W2106360508","https://openalex.org/W2112796928","https://openalex.org/W2119299853","https://openalex.org/W2125203716","https://openalex.org/W2142096775","https://openalex.org/W2146166061","https://openalex.org/W2152839228","https://openalex.org/W2156425544","https://openalex.org/W2163605009","https://openalex.org/W2166230011","https://openalex.org/W2168429197","https://openalex.org/W2187230075","https://openalex.org/W2962835968","https://openalex.org/W2963542991","https://openalex.org/W3098405234","https://openalex.org/W3141620748","https://openalex.org/W3147234326","https://openalex.org/W4205579859","https://openalex.org/W4235991875","https://openalex.org/W4243061752","https://openalex.org/W4255029913","https://openalex.org/W6629368666","https://openalex.org/W6637373629","https://openalex.org/W6674914833","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W4390608645","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W2667588871","https://openalex.org/W2272354214","https://openalex.org/W4247566972","https://openalex.org/W4394895745"],"abstract_inverted_index":{"The":[0],"pervasiveness":[1],"of":[2,13,23,59,85],"IoT":[3,27,120],"devices":[4,28,65],"will":[5],"usher":[6],"an":[7],"unprecedented":[8],"growth":[9],"in":[10,105,115],"the":[11,20,57,67,78,107,124],"amount":[12],"digital":[14],"data":[15,50],"produced":[16],"and":[17,37,49,98],"consumed.":[18],"Realizing":[19],"rich":[21],"class":[22],"applications":[24,121],"enabled":[25],"by":[26],"requires":[29,81],"large-scale":[30],"machine":[31,43,93,117],"learning":[32,44,94,118],"systems":[33],"to":[34,66,72,122],"analyze,":[35],"organize":[36],"draw":[38],"inferences":[39],"from":[40,62],"data.":[41],"State-of-the-art":[42],"algorithms":[45],"are":[46],"highly":[47],"compute":[48],"intensive,":[51],"posing":[52],"significant":[53,103],"computational":[54,79],"challenges":[55],"across":[56],"spectrum":[58],"computing":[60,86,97],"devices,":[61],"low-power":[63],"client":[64],"cloud.":[68],"As":[69],"benefits":[70],"due":[71],"semiconductor":[73],"technology":[74],"scaling":[75],"diminish,":[76],"addressing":[77],"gap":[80],"identifying":[82],"new":[83],"sources":[84],"efficiency.":[87],"We":[88],"highlight":[89],"3":[90],"approaches":[91],"viz.":[92],"accelerators,":[95],"approximate":[96],"post-CMOS":[99],"technologies":[100,111],"that":[101],"demonstrate":[102],"promise":[104],"bridging":[106],"efficiency":[108],"gap.":[109],"Such":[110],"may":[112],"be":[113],"instrumental":[114],"enabling":[116],"based":[119],"enter":[123],"mainstream.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}