{"id":"https://openalex.org/W4406762543","doi":"https://doi.org/10.1145/3715012","title":"Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML","display_name":"Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML","publication_year":2025,"publication_date":"2025-01-23","ids":{"openalex":"https://openalex.org/W4406762543","doi":"https://doi.org/10.1145/3715012"},"language":"en","primary_location":{"id":"doi:10.1145/3715012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715012","pdf_url":null,"source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-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/A5048647473","display_name":"Mark Deutel","orcid":"https://orcid.org/0000-0001-8932-5212"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mark Deutel","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany and Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8932-5212","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany and Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]},{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017751830","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u039a\u03cc\u03bd\u03c4\u03b5\u03c2","orcid":"https://orcid.org/0000-0001-7051-0960"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Georgios Kontes","raw_affiliation_strings":["Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7051-0960","affiliations":[{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]},{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023277657","display_name":"Christopher Mutschler","orcid":"https://orcid.org/0000-0001-8108-0230"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christopher Mutschler","raw_affiliation_strings":["Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8108-0230","affiliations":[{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]},{"raw_affiliation_string":"Fraunhofer IIS, Fraunhofer Institute for Integrated Circuits IIS, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076672029","display_name":"J\u00fcrgen Teich","orcid":"https://orcid.org/0000-0001-6285-5862"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Teich","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6285-5862","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048647473"],"corresponding_institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210124274"],"apc_list":null,"apc_paid":null,"fwci":6.5198,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95551749,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"5","issue":"3","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9988999962806702,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.995199978351593,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7302181124687195},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7148784399032593},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5811315178871155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5250948667526245},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5210382342338562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47459813952445984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4742157459259033},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15747728943824768},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.059194594621658325}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7302181124687195},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7148784399032593},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5811315178871155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5250948667526245},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5210382342338562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47459813952445984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4742157459259033},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15747728943824768},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.059194594621658325}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3715012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715012","pdf_url":null,"source":{"id":"https://openalex.org/S4210221532","display_name":"ACM Transactions on Evolutionary Learning and Optimization","issn_l":"2688-299X","issn":["2688-299X","2688-3007"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Evolutionary Learning and Optimization","raw_type":"journal-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/511870","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/511870","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W2096680959","https://openalex.org/W2111526171","https://openalex.org/W2126105956","https://openalex.org/W2186222003","https://openalex.org/W2186820913","https://openalex.org/W2478168051","https://openalex.org/W2555077524","https://openalex.org/W2911918032","https://openalex.org/W2948175577","https://openalex.org/W2972810968","https://openalex.org/W2991044292","https://openalex.org/W3083891030","https://openalex.org/W3093348380","https://openalex.org/W3118608800","https://openalex.org/W3207714888","https://openalex.org/W3216772467","https://openalex.org/W4205961728","https://openalex.org/W4206688953","https://openalex.org/W4214717370","https://openalex.org/W4223527846","https://openalex.org/W4225370744","https://openalex.org/W4249517230","https://openalex.org/W4287639545","https://openalex.org/W4288809021"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W3199608561","https://openalex.org/W4401858220"],"abstract_inverted_index":{"Deploying":[0],"deep":[1],"neural":[2],"networks":[3],"(DNNs)":[4],"on":[5,81,126,162,180],"microcontrollers":[6],"(TinyML)":[7],"is":[8,43],"a":[9,84,102,119,156,163],"common":[10],"trend":[11],"to":[12,34,47,107],"process":[13],"the":[14,22,111],"increasing":[15],"amount":[16],"of":[17,101,134],"sensor":[18],"data":[19],"generated":[20],"at":[21,110,151],"edge,":[23],"but":[24,77],"in":[25,62],"practice,":[26],"resource":[27],"and":[28,51,131,167,183,188],"latency":[29],"constraints":[30],"make":[31],"it":[32],"difficult":[33],"find":[35],"optimal":[36],"DNN":[37,57],"candidates.":[38],"Neural":[39],"architecture":[40],"search":[41,50,142],"(NAS)":[42],"an":[44,132],"excellent":[45],"approach":[46],"automate":[48],"this":[49,115],"can":[52],"easily":[53],"be":[54],"combined":[55],"with":[56],"compression":[58],"techniques":[59,67],"commonly":[60],"used":[61],"TinyML.":[63],"However,":[64],"many":[65],"NAS":[66,121],"are":[68,105],"not":[69],"only":[70,83],"computationally":[71],"expensive,":[72],"especially":[73],"hyperparameter":[74],"optimization":[75,129],"(HPO),":[76],"also":[78],"often":[79],"focus":[80],"optimizing":[82],"single":[85],"objective,":[86],"e.g.,":[87],"maximizing":[88],"accuracy,":[89,159],"without":[90],"considering":[91],"additional":[92],"objectives":[93],"such":[94,185],"as":[95,186],"memory":[96,160],"requirements":[97,161],"or":[98],"computational":[99,168],"complexity":[100],"DNN,":[103],"which":[104],"key":[106],"making":[108],"deployment":[109],"edge":[112],"feasible.":[113],"In":[114],"article,":[116],"we":[117,174],"propose":[118],"novel":[120],"strategy":[122],"for":[123],"TinyML":[124],"based":[125],"multi-objective":[127],"Bayesian":[128],"(MOBOpt)":[130],"ensemble":[133],"competing":[135],"parametric":[136],"policies":[137],"trained":[138],"using":[139],"augmented":[140],"random":[141],"(ARS)":[143],"reinforcement":[144],"learning":[145],"(RL)":[146],"agents.":[147],"Our":[148,170],"methodology":[149],"aims":[150],"efficiently":[152],"finding":[153],"tradeoffs":[154],"between":[155],"DNN\u2019s":[157],"predictive":[158],"given":[164],"target":[165],"system,":[166],"complexity.":[169],"experiments":[171],"show":[172],"that":[173],"consistently":[175],"outperform":[176],"existing":[177],"MOBOpt":[178],"approaches":[179],"different":[181],"datasets":[182],"architectures":[184],"ResNet-18":[187],"MobileNetv3.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}