{"id":"https://openalex.org/W3136763764","doi":"https://doi.org/10.1109/percom50583.2021.9439130","title":"Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications","display_name":"Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications","publication_year":2021,"publication_date":"2021-03-22","ids":{"openalex":"https://openalex.org/W3136763764","doi":"https://doi.org/10.1109/percom50583.2021.9439130","mag":"3136763764"},"language":"en","primary_location":{"id":"doi:10.1109/percom50583.2021.9439130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom50583.2021.9439130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101475291","display_name":"Sangsu Lee","orcid":"https://orcid.org/0000-0002-3348-3163"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sangsu Lee","raw_affiliation_strings":["University of Texas, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081182489","display_name":"Xi Zheng","orcid":"https://orcid.org/0000-0002-2572-2355"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xi Zheng","raw_affiliation_strings":["Macquarie University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macquarie University","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103263511","display_name":"Jie Hua","orcid":"https://orcid.org/0000-0003-2901-3510"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Hua","raw_affiliation_strings":["University of Texas, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067602750","display_name":"Haris Vikalo","orcid":"https://orcid.org/0000-0002-7945-4114"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haris Vikalo","raw_affiliation_strings":["University of Texas, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023117758","display_name":"Christine Julien","orcid":"https://orcid.org/0000-0002-4131-4642"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christine Julien","raw_affiliation_strings":["University of Texas, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas, Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T10764","display_name":"Privacy-Preserving Technologies in Data","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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8134948015213013},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.570347249507904},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5695459246635437},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5097388625144958},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.48594772815704346},{"id":"https://openalex.org/keywords/ubiquitous-computing","display_name":"Ubiquitous computing","score":0.470394492149353},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"Collaborative learning","score":0.4242575466632843},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4217604398727417},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.41179215908050537},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36831894516944885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3112013339996338},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.15296897292137146},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08790668845176697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134948015213013},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.570347249507904},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5695459246635437},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5097388625144958},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.48594772815704346},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.470394492149353},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.4242575466632843},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4217604398727417},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.41179215908050537},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36831894516944885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3112013339996338},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.15296897292137146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08790668845176697},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percom50583.2021.9439130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom50583.2021.9439130","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1065743196","https://openalex.org/W1806891645","https://openalex.org/W2047894825","https://openalex.org/W2081653438","https://openalex.org/W2112796928","https://openalex.org/W2133286823","https://openalex.org/W2155528675","https://openalex.org/W2427862786","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2605742549","https://openalex.org/W2746745947","https://openalex.org/W2785232201","https://openalex.org/W2896422817","https://openalex.org/W2900120080","https://openalex.org/W2928668369","https://openalex.org/W2933510293","https://openalex.org/W2945827727","https://openalex.org/W2949908569","https://openalex.org/W2952087428","https://openalex.org/W2968171501","https://openalex.org/W2970408908","https://openalex.org/W2972882814","https://openalex.org/W2976335444","https://openalex.org/W2981738522","https://openalex.org/W3007345209","https://openalex.org/W3007548213","https://openalex.org/W3012968339","https://openalex.org/W3019609389","https://openalex.org/W3035668299","https://openalex.org/W3048121440","https://openalex.org/W3082674854","https://openalex.org/W3091635927","https://openalex.org/W3094368349","https://openalex.org/W3095611529","https://openalex.org/W3104631511","https://openalex.org/W3105898835","https://openalex.org/W3118146262","https://openalex.org/W3118608800","https://openalex.org/W4285762978","https://openalex.org/W4285876308","https://openalex.org/W4297687186","https://openalex.org/W4297799876","https://openalex.org/W4318619660","https://openalex.org/W4377938787","https://openalex.org/W6718132984","https://openalex.org/W6728532308","https://openalex.org/W6728757088","https://openalex.org/W6748218416","https://openalex.org/W6764838729","https://openalex.org/W6784037095"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4303448918"],"abstract_inverted_index":{"Pervasive":[0],"computing":[1],"applications":[2],"commonly":[3],"involve":[4],"user's":[5,24,115],"personal":[6],"smartphones":[7],"collecting":[8],"data":[9,56,64],"to":[10,26,48,61,71,84,102,106,113,176],"influence":[11],"application":[12],"behavior.":[13,31],"Applications":[14],"are":[15,34,111],"often":[16,35],"backed":[17],"by":[18],"models":[19,33,52,109,125],"that":[20,80,110,154],"learn":[21,85,107],"from":[22],"the":[23,59,78,86,128,142,168],"experiences":[25,130],"provide":[27],"personalized":[28,112,171],"and":[29,144],"responsive":[30],"While":[32],"pre-trained":[36],"on":[37,53],"massive":[38],"datasets,":[39],"federated":[40,67,95],"learning":[41,68,121,166,172],"has":[42],"gained":[43],"attention":[44],"for":[45],"its":[46],"ability":[47],"train":[49],"globally":[50],"shared":[51],"users'":[54],"private":[55],"without":[57],"requiring":[58],"users":[60,82,104],"share":[62],"their":[63,114],"directly.":[65],"However,":[66,118],"requires":[69],"devices":[70,100,133],"collaborate":[72],"via":[73],"a":[74,91,152],"central":[75],"server,":[76],"under":[77],"assumption":[79],"all":[81],"desire":[83],"same":[87],"model.":[88],"We":[89],"define":[90],"new":[92],"approach,":[93,149],"opportunistic":[94,164],"learning,":[96],"in":[97,122,151],"which":[98],"individual":[99],"belonging":[101],"different":[103],"seek":[105],"robust":[108],"own":[116],"experiences.":[117],"instead":[119],"of":[120,131,146,162,170],"isolation,":[123],"these":[124],"opportunistically":[126],"incorporate":[127],"learned":[129],"other":[132],"they":[134],"encounter":[135],"opportunistically.":[136],"In":[137],"this":[138],"paper,":[139],"we":[140],"explore":[141],"feasibility":[143],"limits":[145],"such":[147],"an":[148],"culminating":[150],"framework":[153],"supports":[155],"encounter-based":[156,165],"pairwise":[157],"collaborative":[158],"learning.":[159],"The":[160],"use":[161],"our":[163],"amplifies":[167],"performance":[169],"while":[173],"resisting":[174],"overfitting":[175],"encountered":[177],"data.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}