{"id":"https://openalex.org/W4412560763","doi":"https://doi.org/10.1109/mocast65744.2025.11083959","title":"Low-Rank Equilibrium Propagation: An Online Incremental Learning Architecture for Analog-Based Hardware Accelerators","display_name":"Low-Rank Equilibrium Propagation: An Online Incremental Learning Architecture for Analog-Based Hardware Accelerators","publication_year":2025,"publication_date":"2025-06-11","ids":{"openalex":"https://openalex.org/W4412560763","doi":"https://doi.org/10.1109/mocast65744.2025.11083959"},"language":"en","primary_location":{"id":"doi:10.1109/mocast65744.2025.11083959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mocast65744.2025.11083959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05098393v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076027093","display_name":"Mohamed Watfa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mohamed Watfa","raw_affiliation_strings":["University of Montpellier, CNRS,LIRMM,Montpellier,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Montpellier, CNRS,LIRMM,Montpellier,France","institution_ids":["https://openalex.org/I19894307","https://openalex.org/I1294671590","https://openalex.org/I4210101743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050344559","display_name":"Alberto Garc\u00eda-Ortiz","orcid":"https://orcid.org/0000-0002-6461-3864"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]},{"id":"https://openalex.org/I166433441","display_name":"Hochschule Bremen","ror":"https://ror.org/04f7jc139","country_code":"DE","type":"education","lineage":["https://openalex.org/I166433441"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alberto Garcia-Ortiz","raw_affiliation_strings":["University of Bremen,ITEM,Bremen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bremen,ITEM,Bremen,Germany","institution_ids":["https://openalex.org/I180437899","https://openalex.org/I166433441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013327343","display_name":"Gilles Sassatelli","orcid":"https://orcid.org/0000-0002-6396-286X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilles Sassatelli","raw_affiliation_strings":["University of Montpellier, CNRS,LIRMM,Montpellier,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Montpellier, CNRS,LIRMM,Montpellier,France","institution_ids":["https://openalex.org/I19894307","https://openalex.org/I1294671590","https://openalex.org/I4210101743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076027093"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I19894307","https://openalex.org/I4210101743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08403969,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.972599983215332,"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/T12676","display_name":"Machine Learning and ELM","score":0.972599983215332,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9046000242233276,"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/computer-science","display_name":"Computer science","score":0.6545568704605103},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6438197493553162},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5142902731895447},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4668235182762146},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.41930168867111206},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3357740044593811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32710403203964233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0998484194278717},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.08309054374694824},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.07364347577095032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545568704605103},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6438197493553162},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5142902731895447},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4668235182762146},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.41930168867111206},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3357740044593811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32710403203964233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0998484194278717},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.08309054374694824},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.07364347577095032},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mocast65744.2025.11083959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mocast65744.2025.11083959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05098393v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05098393","pdf_url":"https://hal.science/hal-05098393v1/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MOCAST 2025 - 14th International Conference on Modern Circuits and Systems Technologies, Jun 2025, Dresden, Germany. &#x27E8;10.1109/MOCAST65744.2025.11083959&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05098393v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05098393","pdf_url":"https://hal.science/hal-05098393v1/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MOCAST 2025 - 14th International Conference on Modern Circuits and Systems Technologies, Jun 2025, Dresden, Germany. &#x27E8;10.1109/MOCAST65744.2025.11083959&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4165653413","display_name":null,"funder_award_id":"ANR-23-PEIA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412560763.pdf","grobid_xml":"https://content.openalex.org/works/W4412560763.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1587799944","https://openalex.org/W1636374761","https://openalex.org/W2307193480","https://openalex.org/W2408724663","https://openalex.org/W2527798464","https://openalex.org/W2560615381","https://openalex.org/W2803163155","https://openalex.org/W2918725583","https://openalex.org/W3008608336","https://openalex.org/W3022664448","https://openalex.org/W3198877855","https://openalex.org/W4392028216","https://openalex.org/W6779005050"],"related_works":["https://openalex.org/W2112835755","https://openalex.org/W4291951920","https://openalex.org/W2349674371","https://openalex.org/W2097495471","https://openalex.org/W1696545756","https://openalex.org/W2952827811","https://openalex.org/W2056202066","https://openalex.org/W2963262648","https://openalex.org/W4301867002","https://openalex.org/W2038503502"],"abstract_inverted_index":{"Edge":[0],"machine":[1],"learning":[2,22],"is":[3,101],"emerging":[4],"as":[5,44],"a":[6,45,70,81,121],"fundamental":[7],"technology":[8],"to":[9,29,48,73,137],"address":[10,74],"the":[11,24,51,75,85,105,152,180,189],"rapid":[12],"growth":[13],"of":[14,77,84,107,112,179,188],"smart":[15],"devices":[16],"and":[17,32,114,124,143,158],"sensors.":[18],"However,":[19],"deploying":[20],"deep":[21],"at":[23],"edge":[25],"remains":[26,63],"difficult":[27],"due":[28],"limited":[30],"memory":[31],"computational":[33],"capacity.":[34],"Among":[35],"analog":[36,97,108],"processing":[37],"solutions,":[38],"Equilibrium":[39,147],"Propagation":[40,148],"(EP)":[41],"has":[42],"emerged":[43],"promising":[46],"alternative":[47],"backpropagation,":[49],"offering":[50],"potential":[52,198],"for":[53,103,133,154,193,199],"significant":[54],"gains":[55],"in":[56,140,201],"embedded":[57],"systems.":[58],"Yet,":[59],"its":[60,127,197],"practical":[61],"implementation":[62,129],"challenging.":[64],"In":[65],"this":[66],"work,":[67],"we":[68],"introduce":[69],"novel":[71],"method":[72],"challenges":[76],"EP":[78,86,119],"by":[79,162],"proposing":[80],"low-rank":[82,166],"approximation":[83],"algorithm.":[87],"This":[88],"approach":[89],"enables":[90],"efficient,":[91],"end-to-end":[92],"online":[93],"incremental":[94],"training":[95],"on":[96,170],"neuromorphic":[98],"accelerators,":[99],"which":[100],"essential":[102],"handling":[104],"aging":[106],"devices,":[109],"imprecise":[110],"programming":[111],"memristors,":[113],"other":[115],"hardware":[116],"imperfections.":[117],"While":[118],"offers":[120],"unified":[122],"forward":[123],"backward":[125],"process,":[126],"standard":[128],"requires":[130],"storing":[131],"gradients":[132,164],"each":[134],"device,":[135],"leading":[136],"substantial":[138],"overhead":[139],"both":[141],"area":[142],"power.":[144],"Our":[145],"Low-Rank":[146],"(LOREP)":[149],"scheme":[150],"mitigates":[151],"need":[153],"high-precision":[155],"gradient":[156,190],"storage":[157],"reduces":[159],"read\u2013write":[160],"cycles":[161],"approximating":[163],"with":[165],"factors.":[167],"Experimental":[168],"results":[169],"two":[171],"popular":[172],"datasets":[173],"show":[174],"that":[175],"LOREP":[176],"recovers":[177],"2\u20133%":[178],"lost":[181],"accuracy":[182],"while":[183],"requiring":[184],"less":[185],"than":[186],"5%":[187],"capacitors":[191],"needed":[192],"full-scale":[194],"training,":[195],"highlighting":[196],"deployment":[200],"resource-constrained":[202],"environments.":[203]},"counts_by_year":[],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}
