{"id":"https://openalex.org/W4411724830","doi":"https://doi.org/10.1109/iscas56072.2025.11043305","title":"CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model","display_name":"CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411724830","doi":"https://doi.org/10.1109/iscas56072.2025.11043305"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5059107361","display_name":"Jinming Lu","orcid":"https://orcid.org/0000-0002-7134-6514"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinming Lu","raw_affiliation_strings":["Nanjing University,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112982671","display_name":"Minghao She","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao She","raw_affiliation_strings":["Nanjing University,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072609627","display_name":"Wendong Mao","orcid":"https://orcid.org/0000-0001-7345-7974"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendong Mao","raw_affiliation_strings":["Sun Yat-Sen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696999","display_name":"Zhongfeng Wang","orcid":"https://orcid.org/0000-0002-7227-4786"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfeng Wang","raw_affiliation_strings":["Sun Yat-Sen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.06597105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8174999952316284,"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":0.8174999952316284,"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/acceleration","display_name":"Acceleration","score":0.8126049041748047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6154359579086304},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5677154064178467},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5200757384300232},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17336201667785645}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.8126049041748047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6154359579086304},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5677154064178467},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5200757384300232},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17336201667785645},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.800000011920929,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2120000030","https://openalex.org/W2725159389","https://openalex.org/W3097528158","https://openalex.org/W3108645709","https://openalex.org/W3155072588","https://openalex.org/W4226014430","https://openalex.org/W4312933868","https://openalex.org/W4386076425","https://openalex.org/W4401358164","https://openalex.org/W6786375611","https://openalex.org/W6793883596","https://openalex.org/W6796581206","https://openalex.org/W6809885388","https://openalex.org/W6810026998","https://openalex.org/W6838639034","https://openalex.org/W6839643428"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W230091440","https://openalex.org/W2390279801","https://openalex.org/W2233261550","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2810751659"],"abstract_inverted_index":{"Fine-tuning":[0],"large":[1],"diffusion":[2,37],"models":[3],"for":[4,16,32,55,82],"custom":[5],"applications":[6],"demands":[7],"substantial":[8,60],"power":[9,66],"and":[10,44,65,84,100],"time,":[11],"which":[12],"poses":[13],"significant":[14],"challenges":[15],"efficient":[17],"implementation":[18],"on":[19,112],"mobile":[20],"devices.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25,58],"develop":[26],"a":[27,50],"novel":[28],"training":[29,53,98],"accelerator":[30,75],"specifically":[31],"Low-Rank":[33],"Adaptation":[34],"(LoRA)":[35],"of":[36],"models,":[38],"aiming":[39],"to":[40,96,106],"streamline":[41],"the":[42,89,107],"process":[43],"reduce":[45],"computational":[46],"complexity.":[47],"By":[48],"leveraging":[49],"fully":[51],"quantized":[52],"scheme":[54],"LoRA":[56,90],"fine-tuning,":[57],"achieve":[59],"reductions":[61],"in":[62],"memory":[63],"usage":[64],"consumption":[67],"while":[68],"maintaining":[69],"high":[70,80],"model":[71],"fidelity.":[72],"The":[73],"proposed":[74],"features":[76],"flexible":[77],"dataflow,":[78],"enabling":[79],"utilization":[81],"irregular":[83],"variable":[85],"tensor":[86],"shapes":[87],"during":[88],"process.":[91],"Experimental":[92],"results":[93],"show":[94],"up":[95],"1.81\u00d7":[97],"speedup":[99],"5.50\u00d7":[101],"energy":[102],"efficiency":[103],"improvements":[104],"compared":[105],"baseline,":[108],"with":[109],"minimal":[110],"impact":[111],"image":[113],"generation":[114],"quality.":[115]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}