{"id":"https://openalex.org/W4395666581","doi":"https://doi.org/10.1145/3625687.3628409","title":"Poster Abstract: Efficient Knowledge Distillation to Train Lightweight Neural Network for Heterogeneous Edge Devices","display_name":"Poster Abstract: Efficient Knowledge Distillation to Train Lightweight Neural Network for Heterogeneous Edge Devices","publication_year":2023,"publication_date":"2023-11-12","ids":{"openalex":"https://openalex.org/W4395666581","doi":"https://doi.org/10.1145/3625687.3628409"},"language":"en","primary_location":{"id":"doi:10.1145/3625687.3628409","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628409","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625687.3628409","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3625687.3628409","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042301488","display_name":"Preti Kumari","orcid":"https://orcid.org/0000-0002-5907-7665"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Preti Kumari","raw_affiliation_strings":["National University of Singapore, Kent Ridge, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-5907-7665","affiliations":[{"raw_affiliation_string":"National University of Singapore, Kent Ridge, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090813241","display_name":"Hari Prabhat Gupta","orcid":"https://orcid.org/0000-0003-3207-1340"},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289","https://openalex.org/I91357014"]},{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hari Prabhat Gupta","raw_affiliation_strings":["IIT (BHU) Varanasi, Varanasi, India"],"raw_orcid":"https://orcid.org/0000-0003-3207-1340","affiliations":[{"raw_affiliation_string":"IIT (BHU) Varanasi, Varanasi, India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041189303","display_name":"Biplab Sikdar","orcid":"https://orcid.org/0000-0002-0084-4647"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Biplab Sikdar","raw_affiliation_strings":["National University of Singapore, Kent Ridge, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-0084-4647","affiliations":[{"raw_affiliation_string":"National University of Singapore, Kent Ridge, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28712871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"546","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/T12676","display_name":"Machine Learning and ELM","score":0.9909999966621399,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9810000061988831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8078352212905884},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7135725617408752},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6911432147026062},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6389577984809875},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5960254073143005},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.568855345249176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5121619701385498},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5074352622032166},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.49575695395469666},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4455917477607727},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4261007308959961},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42520803213119507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38266894221305847},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11841288208961487},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.11711814999580383},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08818262815475464},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0791327953338623}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8078352212905884},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7135725617408752},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6911432147026062},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6389577984809875},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5960254073143005},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.568855345249176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5121619701385498},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5074352622032166},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.49575695395469666},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4455917477607727},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4261007308959961},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42520803213119507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38266894221305847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11841288208961487},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.11711814999580383},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08818262815475464},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0791327953338623},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625687.3628409","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628409","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625687.3628409","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3625687.3628409","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628409","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625687.3628409","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395666581.pdf","grobid_xml":"https://content.openalex.org/works/W4395666581.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2792571661","https://openalex.org/W2948470778","https://openalex.org/W2963503540","https://openalex.org/W3046606162","https://openalex.org/W3048785829"],"related_works":["https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W3111395152","https://openalex.org/W4386004629","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"This":[0,60],"poster":[1],"presents":[2],"a":[3,44],"novel":[4,45],"approach":[5,61],"that":[6],"harnesses":[7],"large-sized":[8],"deep":[9,40],"neural":[10,41],"networks":[11],"to":[12,34,51],"craft":[13],"lightweight":[14,39],"variants,":[15],"addressing":[16],"constraints":[17],"in":[18],"storage,":[19],"processing":[20],"speed,":[21],"and":[22,43,55],"task":[23],"execution":[24],"time":[25],"on":[26],"heterogeneous":[27,68],"edge":[28,69],"devices.":[29],"Knowledge":[30],"distillation":[31],"is":[32,49],"employed":[33],"refine":[35],"the":[36,57],"training":[37,58],"of":[38],"networks,":[42],"early":[46],"termination":[47],"technique":[48],"introduced":[50],"optimize":[52],"resource":[53],"utilization":[54],"expedite":[56],"process.":[59],"yields":[62],"satisfactory":[63],"accuracy":[64],"while":[65],"accommodating":[66],"diverse":[67],"device":[70],"constraints.":[71]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}