{"id":"https://openalex.org/W4400315221","doi":"https://doi.org/10.1109/medcomnet62012.2024.10578134","title":"Distributed Learning with Memory: Optimizing Model Usage Across Training Tasks","display_name":"Distributed Learning with Memory: Optimizing Model Usage Across Training Tasks","publication_year":2024,"publication_date":"2024-06-11","ids":{"openalex":"https://openalex.org/W4400315221","doi":"https://doi.org/10.1109/medcomnet62012.2024.10578134"},"language":"en","primary_location":{"id":"doi:10.1109/medcomnet62012.2024.10578134","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/medcomnet62012.2024.10578134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet)","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/A5035651305","display_name":"Francesco Malandrino","orcid":"https://orcid.org/0000-0003-0458-2004"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"F. Malandrino","raw_affiliation_strings":["CNR-IEIIT,Italy"],"affiliations":[{"raw_affiliation_string":"CNR-IEIIT,Italy","institution_ids":["https://openalex.org/I4210100607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021780258","display_name":"Carla Fabiana Chiasserini","orcid":"https://orcid.org/0000-0003-1410-660X"},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. F. Chiasserini","raw_affiliation_strings":["CNR-IEIIT,Italy"],"affiliations":[{"raw_affiliation_string":"CNR-IEIIT,Italy","institution_ids":["https://openalex.org/I4210100607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035651305"],"corresponding_institution_ids":["https://openalex.org/I4210100607"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07944645,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.7833999991416931,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.7833999991416931,"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":0.8177657127380371},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6639071106910706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4081777036190033},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3722330629825592},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3206689953804016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177657127380371},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6639071106910706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4081777036190033},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3722330629825592},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3206689953804016},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/medcomnet62012.2024.10578134","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/medcomnet62012.2024.10578134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 22nd Mediterranean Communication and Computer Networking Conference (MedComNet)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:542562","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/542562","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2031576555","https://openalex.org/W2091546382","https://openalex.org/W2177743880","https://openalex.org/W2883899390","https://openalex.org/W2919587621","https://openalex.org/W3193378579","https://openalex.org/W3199077126","https://openalex.org/W3202549149","https://openalex.org/W3203042427","https://openalex.org/W3215694718","https://openalex.org/W4289655088","https://openalex.org/W4318751672","https://openalex.org/W6849575220"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"As":[0],"the":[1,19,29,41],"relevance":[2],"of":[3],"distributed":[4],"learning":[5,17,34,38,58],"to":[6,14,62],"vehicular":[7],"services":[8],"grows,":[9],"it":[10],"becomes":[11],"more":[12],"important":[13],"perform":[15],"such":[16],"in":[18],"most":[20],"effective":[21],"possible":[22],"manner.":[23],"In":[24],"this":[25,49],"paper,":[26],"we":[27],"investigate":[28],"benefits":[30],"stemming":[31],"from":[32],"a":[33],"controller":[35],"considering":[36],"multiple":[37],"tasks":[39],"at":[40],"same":[42],"time.":[43],"Our":[44],"performance":[45],"evaluation":[46],"shows":[47],"that":[48],"new":[50],"paradigm,":[51],"which":[52],"also":[53],"enables":[54],"model":[55,66],"reusage":[56],"across":[57],"tasks,":[59],"yields":[60],"up":[61],"60%":[63],"savings":[64],"on":[65],"training":[67],"costs.":[68]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}