{"id":"https://openalex.org/W7154994284","doi":"https://doi.org/10.1613/jair.1.21292","title":"TeamTTA: Efficient Multi-Device Collaboration for Open-Set Test-Time Adaptation via Cloud Integration","display_name":"TeamTTA: Efficient Multi-Device Collaboration for Open-Set Test-Time Adaptation via Cloud Integration","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7154994284","doi":"https://doi.org/10.1613/jair.1.21292"},"language":"en","primary_location":{"id":"doi:10.1613/jair.1.21292","is_oa":true,"landing_page_url":"https://doi.org/10.1613/jair.1.21292","pdf_url":"https://www.jair.org/index.php/jair/article/download/21292/27298","source":{"id":"https://openalex.org/S139930977","display_name":"Journal of Artificial Intelligence Research","issn_l":"1076-9757","issn":["1076-9757","1943-5037"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315760","host_organization_name":"AI Access Foundation","host_organization_lineage":["https://openalex.org/P4310315760"],"host_organization_lineage_names":["AI Access Foundation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jair.org/index.php/jair/article/download/21292/27298","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134095065","display_name":"Anqi Lu","orcid":"https://orcid.org/0000-0002-8835-6938"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Lu","raw_affiliation_strings":["a:1:{s:5:\"en_US\";s:30:\"Harbin Institute of Technology\";}"],"raw_orcid":"https://orcid.org/0000-0002-8835-6938","affiliations":[{"raw_affiliation_string":"a:1:{s:5:\"en_US\";s:30:\"Harbin Institute of Technology\";}","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004160862","display_name":"Youbing Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youbing Hu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2181-9659","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087680636","display_name":"Yun Cheng","orcid":"https://orcid.org/0000-0002-0421-1716"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun Cheng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0421-1716","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101864401","display_name":"Dawei Wei","orcid":"https://orcid.org/0000-0003-1134-6165"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dawei Wei","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1134-6165","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103142063","display_name":"Zhiqiang Cao","orcid":"https://orcid.org/0000-0002-7351-5887"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiqiang Cao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7351-5887","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454005","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0001-6209-6886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6209-6886","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100450015","display_name":"Zhijun Li","orcid":"https://orcid.org/0000-0001-9129-9957"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhijun Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9129-9957","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45057427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"85","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.580299973487854,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.580299973487854,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.20399999618530273,"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":0.0284000001847744,"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/robustness","display_name":"Robustness (evolution)","score":0.6668000221252441},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6421999931335449},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6190000176429749},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5960000157356262},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5823000073432922},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5788999795913696},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.5615000128746033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230999708175659},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6668000221252441},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6421999931335449},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6353999972343445},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6190000176429749},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5960000157356262},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5823000073432922},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5788999795913696},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.5615000128746033},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5212000012397766},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3515999913215637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3497999906539917},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.3075000047683716},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28949999809265137},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.25360000133514404},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1613/jair.1.21292","is_oa":true,"landing_page_url":"https://doi.org/10.1613/jair.1.21292","pdf_url":"https://www.jair.org/index.php/jair/article/download/21292/27298","source":{"id":"https://openalex.org/S139930977","display_name":"Journal of Artificial Intelligence Research","issn_l":"1076-9757","issn":["1076-9757","1943-5037"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315760","host_organization_name":"AI Access Foundation","host_organization_lineage":["https://openalex.org/P4310315760"],"host_organization_lineage_names":["AI Access Foundation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence Research","raw_type":"journal-article"},{"id":"pmh:doi:10.3929/ethz-c-000799533","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/799533","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1613/jair.1.21292","is_oa":true,"landing_page_url":"https://doi.org/10.1613/jair.1.21292","pdf_url":"https://www.jair.org/index.php/jair/article/download/21292/27298","source":{"id":"https://openalex.org/S139930977","display_name":"Journal of Artificial Intelligence Research","issn_l":"1076-9757","issn":["1076-9757","1943-5037"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315760","host_organization_name":"AI Access Foundation","host_organization_lineage":["https://openalex.org/P4310315760"],"host_organization_lineage_names":["AI Access Foundation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7154994284.pdf","grobid_xml":"https://content.openalex.org/works/W7154994284.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"deployed":[4],"on":[5,180],"edge":[6,40,101,149,173,223],"devices":[7,102,174],"often":[8],"suffer":[9],"from":[10,99],"severe":[11],"performance":[12],"degradation":[13],"when":[14],"exposed":[15],"to":[16,107,131,171,198],"dynamic":[17],"and":[18,53,110,136,187,201,217],"continually":[19],"shifting":[20],"environments.":[21],"Test-time":[22],"adaptation":[23,51,195],"(TTA)":[24],"has":[25],"emerged":[26],"as":[27,138],"a":[28,83,112,139,146],"promising":[29],"solution":[30],"by":[31,50],"updating":[32],"models":[33],"online":[34],"with":[35],"incoming":[36],"test":[37],"data.":[38],"However,":[39],"deployment":[41],"poses":[42],"unique":[43],"challenges:":[44],"limited":[45],"computational":[46],"resources,":[47],"latency":[48],"caused":[49],"delays,":[52],"knowledge":[54,144,219],"isolation":[55],"across":[56],"devices.":[57],"The":[58,155],"situation":[59],"becomes":[60],"even":[61],"more":[62],"complex":[63],"in":[64,123,152],"open-world":[65],"scenarios,":[66],"where":[67],"the":[68,108,124,153,172,211],"presence":[69],"of":[70,213],"unknown":[71],"categories":[72],"further":[73],"disrupts":[74],"adaptation.":[75,93,117],"To":[76],"overcome":[77],"these":[78],"limitations,":[79],"we":[80],"propose":[81],"TeamTTA,":[82],"cloud-integrated":[84],"framework":[85],"designed":[86],"for":[87,115,175,221],"efficient":[88,176],"multi-device":[89],"collaboration":[90,216],"open-set":[91,134,188],"test-time":[92],"Specifically,":[94],"TeamTTA":[95,192],"aggregates":[96],"reliable":[97],"samples":[98,135],"multiple":[100],"through":[103],"crowdsourcing,":[104],"uploads":[105],"them":[106],"cloud,":[109],"maintains":[111],"memory":[113],"buffer":[114],"continual":[116],"A":[118],"large":[119],"vision":[120],"model":[121,150,157],"(LVM)":[122],"cloud":[125],"leverages":[126],"its":[127,143],"zero-shot":[128],"generalization":[129],"ability":[130],"filter":[132],"out":[133],"acts":[137],"teacher":[140],"model,":[141],"distilling":[142],"into":[145],"replicated":[147],"student":[148],"stored":[151],"cloud.":[154],"adapted":[156],"parameters,":[158],"or":[159],"alternatively":[160],"global":[161],"statistics":[162],"under":[163],"poor":[164],"network":[165],"conditions,":[166],"are":[167],"then":[168],"transmitted":[169],"back":[170],"inference.":[177],"Extensive":[178],"experiments":[179],"standard":[181],"public":[182],"TTA":[183,206],"benchmarks,":[184],"including":[185],"corrupted":[186],"datasets,":[189],"show":[190],"that":[191],"achieves":[193],"superior":[194],"accuracy,":[196],"robustness":[197],"distribution":[199],"shifts,":[200],"communication":[202],"efficiency,":[203],"outperforming":[204],"state-of-the-art":[205],"baselines.":[207],"These":[208],"results":[209],"validate":[210],"effectiveness":[212],"integrating":[214],"cloud-edge":[215],"LVM-driven":[218],"distillation":[220],"real-world":[222],"intelligence.":[224]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-04-21T00:00:00"}