{"id":"https://openalex.org/W7125588151","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340306","title":"Advanced Knowledge Distillation Pipeline with Dynamic Weighted-Smoothed Loss for a Robust Deep Network Deployment in Resource-Constrained Embedded Systems","display_name":"Advanced Knowledge Distillation Pipeline with Dynamic Weighted-Smoothed Loss for a Robust Deep Network Deployment in Resource-Constrained Embedded Systems","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125588151","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340306"},"language":null,"primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11340306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091834053","display_name":"Francesco Rundo","orcid":"https://orcid.org/0000-0002-9498-093X"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Rundo","raw_affiliation_strings":["University of Catania,Math. and C. S. Department,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Math. and C. S. Department,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084173702","display_name":"Giulia Castagnolo","orcid":"https://orcid.org/0000-0003-2105-8634"},"institutions":[{"id":"https://openalex.org/I131827901","display_name":"STMicroelectronics (Switzerland)","ror":"https://ror.org/00wm3b005","country_code":"CH","type":"company","lineage":["https://openalex.org/I131827901"]},{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]},{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["CH","CZ","IT"],"is_corresponding":false,"raw_author_name":"Giulia Castagnolo","raw_affiliation_strings":["STMicroelectronics,QMT, R&#x0026;D Division,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMicroelectronics,QMT, R&#x0026;D Division,Catania,Italy","institution_ids":["https://openalex.org/I131827901","https://openalex.org/I4210124177","https://openalex.org/I4210154781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078978043","display_name":"Carmelo Pino","orcid":"https://orcid.org/0000-0003-0726-7851"},"institutions":[{"id":"https://openalex.org/I131827901","display_name":"STMicroelectronics (Switzerland)","ror":"https://ror.org/00wm3b005","country_code":"CH","type":"company","lineage":["https://openalex.org/I131827901"]},{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]},{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["CH","CZ","IT"],"is_corresponding":false,"raw_author_name":"Carmelo Pino","raw_affiliation_strings":["STMicroelectronics,QMT, R&#x0026;D Division,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMicroelectronics,QMT, R&#x0026;D Division,Catania,Italy","institution_ids":["https://openalex.org/I131827901","https://openalex.org/I4210124177","https://openalex.org/I4210154781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086037119","display_name":"Massimo Orazio Spata","orcid":"https://orcid.org/0000-0001-6704-7485"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo O. Spata","raw_affiliation_strings":["University of Catania,Math. and C. S. Department,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Math. and C. S. Department,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033909920","display_name":"Angelo Messina","orcid":"https://orcid.org/0000-0002-2762-6615"},"institutions":[{"id":"https://openalex.org/I131827901","display_name":"STMicroelectronics (Switzerland)","ror":"https://ror.org/00wm3b005","country_code":"CH","type":"company","lineage":["https://openalex.org/I131827901"]},{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}],"countries":["CH","CZ"],"is_corresponding":false,"raw_author_name":"Angelo A. Messina","raw_affiliation_strings":["STMicroelectronics,IPA Division,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMicroelectronics,IPA Division,Catania,Italy","institution_ids":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michele Calabretta","orcid":null},"institutions":[{"id":"https://openalex.org/I131827901","display_name":"STMicroelectronics (Switzerland)","ror":"https://ror.org/00wm3b005","country_code":"CH","type":"company","lineage":["https://openalex.org/I131827901"]},{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]},{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["CH","CZ","IT"],"is_corresponding":false,"raw_author_name":"Michele Calabretta","raw_affiliation_strings":["STMicroelectronics,QMT, R&#x0026;D Division,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMicroelectronics,QMT, R&#x0026;D Division,Catania,Italy","institution_ids":["https://openalex.org/I131827901","https://openalex.org/I4210124177","https://openalex.org/I4210154781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123780821","display_name":"Sebastiano Battiato","orcid":null},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiano Battiato","raw_affiliation_strings":["University of Catania,Math. and C. S. Department,Catania,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Catania,Math. and C. S. Department,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5939025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"275","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8148000240325928,"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":0.8148000240325928,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.014600000344216824,"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/T14347","display_name":"Big Data and Digital Economy","score":0.01360000018030405,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/software-deployment","display_name":"Software deployment","score":0.7037000060081482},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6690999865531921},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6212999820709229},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5284000039100647},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.47870001196861267},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4489000141620636},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.38690000772476196}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7037000060081482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862999796867371},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6690999865531921},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6212999820709229},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5834000110626221},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5284000039100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4961000084877014},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4489000141620636},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3837999999523163},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36649999022483826},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30230000615119934},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11340306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2963140444","https://openalex.org/W3014271046","https://openalex.org/W3015858876","https://openalex.org/W3152607317","https://openalex.org/W3190449293","https://openalex.org/W4220731687","https://openalex.org/W4281716632","https://openalex.org/W4391528928","https://openalex.org/W4392062993","https://openalex.org/W4402742685"],"related_works":[],"abstract_inverted_index":{"Deploying":[0],"deep":[1,126],"neural":[2],"networks":[3],"on":[4,13,98,102,128],"embedded":[5,129],"systems":[6],"is":[7,24,63],"challenging":[8],"due":[9],"to":[10,65,94],"stringent":[11],"constraints":[12],"memory,":[14],"compute,":[15],"and":[16,50,69,84,100,110,117],"power.":[17],"DISTILLO":[18,120],"(aDvanced":[19],"Interactive":[20],"ST":[21],"knowledge":[22,26],"distILLation)":[23],"a":[25],"distillation":[27],"framework":[28],"tailored":[29],"for":[30],"classification":[31],"tasks":[32],"in":[33],"resource-limited":[34],"environments.":[35],"It":[36],"features":[37],"two":[38],"strategies:":[39],"DISTILLO-Classical,":[40],"using":[41,79],"dynamic":[42],"loss":[43],"weighting":[44],"with":[45,114],"Kullback-Leibler":[46],"or":[47],"Jensen-Shannon":[48,61],"divergence,":[49],"DISTILLO-Ensemble,":[51],"which":[52],"combines":[53],"multiple":[54],"student":[55],"models":[56,127],"distilled":[57],"at":[58],"different":[59],"temperatures.":[60],"divergence":[62],"adopted":[64],"provide":[66],"symmetric,":[67],"bounded,":[68],"stable":[70],"gradients,":[71],"improving":[72],"the":[73,76,122],"robustness":[74],"of":[75,125],"training.":[77],"Experiments":[78],"Vision":[80],"Transformers":[81],"as":[82,87,132],"teachers":[83],"lightweight":[85],"CNNs":[86],"students":[88],"show":[89],"that":[90],"DISTILLO-Classical":[91],"achieves":[92],"up":[93],"+5.37%":[95],"accuracy":[96],"gain":[97],"CIFAR-100":[99],"+4.42%":[101],"Imagenette.":[103],"DISTILLO-Ensemble":[104],"further":[105],"improves":[106],"performance,":[107],"reaching":[108],"+13.97%":[109],"+8.32%":[111],"gains,":[112],"respectively,":[113],"minimal":[115],"memory":[116],"latency":[118],"overhead.":[119],"enables":[121],"effective":[123],"deployment":[124],"platforms":[130],"such":[131],"STM32":[133],"microcontrollers.":[134]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-01-25T00:00:00"}
