{"id":"https://openalex.org/W4395029441","doi":"https://doi.org/10.1109/percomworkshops59983.2024.10503202","title":"Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm","display_name":"Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm","publication_year":2024,"publication_date":"2024-03-11","ids":{"openalex":"https://openalex.org/W4395029441","doi":"https://doi.org/10.1109/percomworkshops59983.2024.10503202"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops59983.2024.10503202","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops59983.2024.10503202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","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/A5078844625","display_name":"Yiran Huang","orcid":"https://orcid.org/0000-0003-3805-1375"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yiran Huang","raw_affiliation_strings":["Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066616703","display_name":"Yexu Zhou","orcid":"https://orcid.org/0000-0002-8866-7998"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yexu Zhou","raw_affiliation_strings":["Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084787896","display_name":"Haibin Zhao","orcid":"https://orcid.org/0000-0001-7018-1159"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Haibin Zhao","raw_affiliation_strings":["Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066888374","display_name":"Till Riedel","orcid":"https://orcid.org/0000-0003-4547-1984"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Till Riedel","raw_affiliation_strings":["Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082553444","display_name":"Michael Beigl","orcid":"https://orcid.org/0000-0001-5009-2327"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Beigl","raw_affiliation_strings":["Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Pervasive Computing Systems-TECO, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078844625"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62413859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"160","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9991000294685364,"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":0.9991000294685364,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9973999857902527,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9973000288009644,"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/genetic-algorithm","display_name":"Genetic algorithm","score":0.6197308897972107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5602700114250183},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5575463175773621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45988592505455017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31263065338134766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19243428111076355}],"concepts":[{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6197308897972107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5602700114250183},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5575463175773621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45988592505455017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31263065338134766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19243428111076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops59983.2024.10503202","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops59983.2024.10503202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","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":14,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2026297770","https://openalex.org/W2052958516","https://openalex.org/W2111935653","https://openalex.org/W2219995598","https://openalex.org/W3012919764","https://openalex.org/W4210592951","https://openalex.org/W4249545506","https://openalex.org/W4293054800","https://openalex.org/W4320491339","https://openalex.org/W4365396047","https://openalex.org/W4385482722","https://openalex.org/W4400765089","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Tiny":[0],"edge":[1],"systems":[2],"used":[3],"in":[4,138],"IoT":[5],"devices,":[6],"wearables":[7],"or":[8],"smart":[9],"textiles":[10],"are":[11],"characterized":[12],"by":[13,122,144,198],"the":[14,28,34,37,40,70,76,92,118,136,153,162,178,191,194],"need":[15],"of":[16,31,36,39,79,86,147,156,164,180,193],"processing":[17],"complex":[18,84],"sensor":[19],"data":[20],"streams":[21],"under":[22],"various":[23],"device":[24],"constraints.":[25],"Due":[26],"to":[27,52,57,66,98],"high":[29,71,102],"number":[30],"constraints":[32],"and":[33,83,151],"complexity":[35],"optimization":[38,74],"hyper-parameter":[41],"space":[42],"for":[43,60,114],"machine":[44,125,158],"learning":[45,126,159],"based":[46],"processing,":[47],"genetic":[48,186],"algorithms":[49,200],"(GAs)":[50],"seem":[51],"be":[53],"a":[54,108],"perfect":[55],"fit":[56],"enable":[58],"AutoML":[59,115],"those":[61],"embedded":[62,87,124],"devices.":[63],"However,":[64],"due":[65],"aspects":[67],"such":[68],"as":[69],"interdependence":[72],"between":[73],"parameters,":[75],"simultaneous":[77],"existence":[78],"multiple":[80],"conflicting":[81],"objectives":[82],"effects":[85],"feature":[88],"engineering,":[89],"we":[90,189],"made":[91],"experience":[93],"that":[94],"GA":[95],"approaches":[96],"fail":[97],"converge":[99],"within":[100],"this":[101],"dimensional":[103],"design":[104],"space.":[105],"We":[106],"introduce":[107],"novel":[109],"Genetic":[110],"Algorithm":[111],"(GA)":[112],"customized":[113],"tasks,":[116],"addressing":[117],"unique":[119],"challenges":[120],"posed":[121],"highly":[123],"domains.":[127],"The":[128],"proposed":[129,182],"approach":[130],"addresses":[131],"parameter":[132],"interdependencies":[133],"through":[134,201],"utilizing":[135],"Baldwin-effect":[137],"biological":[139],"evolution,":[140],"enhances":[141],"resource":[142],"utilization":[143],"early":[145],"elimination":[146],"less":[148],"promising":[149],"individuals,":[150],"augments":[152],"insufficient":[154],"capabilities":[155],"existing":[157],"features":[160],"via":[161],"integration":[163],"carefully":[165],"designed":[166],"neural":[167],"network":[168],"features.":[169],"Empirical":[170],"evaluations":[171],"conducted":[172],"on":[173],"two":[174],"benchmark":[175],"datasets":[176],"support":[177],"superiority":[179],"our":[181,199],"method":[183],"over":[184],"conventional":[185],"algorithms.":[187],"Furthermore,":[188],"demonstrate":[190],"effect":[192],"different":[195],"components":[196],"introduced":[197],"an":[202],"ablation":[203],"study.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
