{"id":"https://openalex.org/W4381746915","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150339","title":"On-Device AI: Quantization-Aware Training of Transformers in Time-Series","display_name":"On-Device AI: Quantization-Aware Training of Transformers in Time-Series","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4381746915","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150339"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops56833.2023.10150339","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops56833.2023.10150339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.16495","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050954473","display_name":"Tianheng Ling","orcid":"https://orcid.org/0000-0003-4603-8576"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tianheng Ling","raw_affiliation_strings":["University of Duisburg-Essen,Germany","University of Duisburg-Essen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen,Germany","institution_ids":["https://openalex.org/I62318514"]},{"raw_affiliation_string":"University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028943371","display_name":"Gregor Schiele","orcid":"https://orcid.org/0000-0003-4266-4828"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregor Schiele","raw_affiliation_strings":["University of Duisburg-Essen,Germany","University of Duisburg-Essen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Duisburg-Essen,Germany","institution_ids":["https://openalex.org/I62318514"]},{"raw_affiliation_string":"University of Duisburg-Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050954473"],"corresponding_institution_ids":["https://openalex.org/I62318514"],"apc_list":null,"apc_paid":null,"fwci":0.1758,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54383115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"235","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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/T10320","display_name":"Neural Networks and Applications","score":0.9980000257492065,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9779000282287598,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9577999711036682,"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.7280913591384888},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7280473709106445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126938104629517},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.596308708190918},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5709131360054016},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.43194544315338135},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3756507933139801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3338407874107361},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.18906855583190918},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1552427113056183},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12266263365745544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11723443865776062},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.10014107823371887}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.7280913591384888},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7280473709106445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126938104629517},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.596308708190918},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5709131360054016},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.43194544315338135},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3756507933139801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3338407874107361},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.18906855583190918},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1552427113056183},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12266263365745544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11723443865776062},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.10014107823371887}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percomworkshops56833.2023.10150339","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops56833.2023.10150339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2408.16495","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.16495","pdf_url":"https://arxiv.org/pdf/2408.16495","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":"pmh:oai:arXiv.org:2408.16495","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.16495","pdf_url":"https://arxiv.org/pdf/2408.16495","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8071782419","display_name":null,"funder_award_id":"01MD22007C","funder_id":"https://openalex.org/F4320321721","funder_display_name":"Bundesministerium f\u00fcr Gesundheit"}],"funders":[{"id":"https://openalex.org/F4320321721","display_name":"Bundesministerium f\u00fcr Gesundheit","ror":"https://ror.org/05vp4ka74"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4381746915.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2897268301","https://openalex.org/W3002709689","https://openalex.org/W3047385195","https://openalex.org/W3177318507","https://openalex.org/W4287118909","https://openalex.org/W4293093126","https://openalex.org/W4320059931","https://openalex.org/W4385245566","https://openalex.org/W4385763767","https://openalex.org/W4387994870","https://openalex.org/W6739901393","https://openalex.org/W6773071120","https://openalex.org/W6796815506","https://openalex.org/W6811309592","https://openalex.org/W6849203490"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W2355315220","https://openalex.org/W2928062709","https://openalex.org/W3204400881","https://openalex.org/W3214410901","https://openalex.org/W3204296682","https://openalex.org/W3183118997","https://openalex.org/W2917767146","https://openalex.org/W2929170389","https://openalex.org/W4300097863"],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"models":[3],"for":[4,58],"time-series":[5,59],"in":[6],"pervasive":[7],"computing":[8],"keep":[9],"getting":[10],"larger":[11],"and":[12,95],"more":[13],"complicated.":[14],"The":[15,62],"Transformer":[16,56,89],"model":[17,42,57,64,90],"is":[18,30],"by":[19],"far":[20],"the":[21,34,55,81,88,101],"most":[22],"compelling":[23],"of":[24,83,103],"these":[25],"AI":[26],"models.":[27],"However,":[28],"it":[29],"difficult":[31],"to":[32,87,91],"obtain":[33],"desired":[35],"performance":[36],"when":[37],"deploying":[38],"such":[39],"a":[40,44],"massive":[41],"on":[43,53,71],"sensor":[45],"device":[46],"with":[47],"limited":[48],"resources.":[49],"My":[50],"research":[51],"focuses":[52],"optimizing":[54],"forecasting":[60],"tasks.":[61],"optimized":[63],"will":[65,79],"be":[66],"deployed":[67],"as":[68],"hardware":[69],"accelerators":[70],"embedded":[72],"Field":[73],"Programmable":[74],"Gate":[75],"Arrays":[76],"(FPGAs).":[77],"I":[78],"investigate":[80],"impact":[82],"applying":[84],"Quantization-aware":[85],"Training":[86],"reduce":[92],"its":[93],"size":[94],"runtime":[96],"memory":[97],"footprint":[98],"while":[99],"maximizing":[100],"advantages":[102],"FPGAs.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}