{"id":"https://openalex.org/W7153169637","doi":"https://doi.org/10.3390/e28040423","title":"Bias-Corrected Federated Learning for Video Recommendation over Stochastic Communication Links","display_name":"Bias-Corrected Federated Learning for Video Recommendation over Stochastic Communication Links","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153169637","doi":"https://doi.org/10.3390/e28040423","pmid":"https://pubmed.ncbi.nlm.nih.gov/42072548"},"language":"en","primary_location":{"id":"doi:10.3390/e28040423","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e28040423","pdf_url":"https://www.mdpi.com/1099-4300/28/4/423/pdf?version=1775745654","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/28/4/423/pdf?version=1775745654","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005281877","display_name":"C.W. Zhou","orcid":"https://orcid.org/0009-0002-4785-7522"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]},{"id":"https://openalex.org/I4210099207","display_name":"Nanshan Group (China)","ror":"https://ror.org/00z1y3s94","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099207"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochen Zhou","raw_affiliation_strings":["Nanshan Sub-District Office, Nanan District, Chongqing 400065, China","School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanshan Sub-District Office, Nanan District, Chongqing 400065, China","institution_ids":["https://openalex.org/I4210099207"]},{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057482297","display_name":"Yadong Pei","orcid":"https://orcid.org/0000-0001-9257-0550"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yadong Pei","raw_affiliation_strings":["Key Laboratory of Public Big Data Security Technology, Chongqing College of Mobile Communication, Chongqing 401420, China"],"raw_orcid":"https://orcid.org/0000-0001-9257-0550","affiliations":[{"raw_affiliation_string":"Key Laboratory of Public Big Data Security Technology, Chongqing College of Mobile Communication, Chongqing 401420, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085654573","display_name":"Zhidu Li","orcid":"https://orcid.org/0000-0001-5810-541X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhidu Li","raw_affiliation_strings":["School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"raw_orcid":"https://orcid.org/0000-0001-5810-541X","affiliations":[{"raw_affiliation_string":"School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085654573"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40610763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"4","first_page":"423","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.5475999712944031,"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":0.5475999712944031,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.044199999421834946,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.036400001496076584,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/upload","display_name":"Upload","score":0.8360999822616577},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6904000043869019},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6244000196456909},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.5605999827384949},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4596000015735626},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.3873000144958496},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.34360000491142273},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.33309999108314514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8614000082015991},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.8360999822616577},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6904000043869019},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6244000196456909},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.5605999827384949},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3635999858379364},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3452000021934509},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C3020512178","wikidata":"https://www.wikidata.org/wiki/Q723685","display_name":"Video on demand","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.26089999079704285}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e28040423","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e28040423","pdf_url":"https://www.mdpi.com/1099-4300/28/4/423/pdf?version=1775745654","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:42072548","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42072548","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:fc8d5b4a0939483a9838c0a36a049ddf","is_oa":true,"landing_page_url":"https://doaj.org/article/fc8d5b4a0939483a9838c0a36a049ddf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 28, Iss 4, p 423 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13114535","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13114535/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e28040423","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e28040423","pdf_url":"https://www.mdpi.com/1099-4300/28/4/423/pdf?version=1775745654","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G847299528","display_name":null,"funder_award_id":"CSTB2025NSCQ-LZX0138","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"}],"funders":[{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7153169637.pdf","grobid_xml":"https://content.openalex.org/works/W7153169637.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,47,70,82,89,119,122,128,147,156],"increasing":[2],"demand":[3],"for":[4,39,59],"privacy-preserving":[5],"and":[6,62,68,163],"real-time":[7,86],"personalized":[8],"services":[9],"in":[10,169],"large-scale":[11],"video":[12,40,60],"platforms,":[13],"designing":[14],"robust":[15],"federated":[16,35,87],"recommendation":[17,41,161],"frameworks":[18],"over":[19,42],"practical":[20,170],"communication":[21,44,167],"networks":[22],"has":[23],"become":[24],"increasingly":[25],"important.":[26],"To":[27,80],"this":[28,30,106],"end,":[29],"paper":[31],"proposes":[32],"a":[33,51,109,136],"bias-corrected":[34,52],"learning":[36],"framework":[37,158],"tailored":[38],"stochastic":[43],"links.":[45],"At":[46],"local":[48,94,139],"training":[49],"stage,":[50],"mechanism":[53],"is":[54,97,115],"introduced":[55],"to":[56,73,117,127,142],"explicitly":[57],"account":[58],"duration":[61],"user":[63],"activity,":[64],"mitigating":[65],"feature-level":[66],"bias":[67],"enabling":[69],"learned":[71],"representations":[72],"more":[74],"accurately":[75],"reflect":[76],"users'":[77],"intrinsic":[78],"preferences.":[79],"meet":[81],"timeliness":[83],"requirements":[84],"of":[85,93,121,138],"learning,":[88],"successful":[90],"upload":[91,143],"probability":[92],"model":[95],"transmission":[96],"analytically":[98],"characterized":[99],"under":[100],"time-varying":[101],"channel":[102],"conditions.":[103],"Building":[104],"upon":[105],"probabilistic":[107],"model,":[108],"statistically":[110],"corrected":[111],"global":[112,123],"aggregation":[113],"strategy":[114],"designed":[116],"preserve":[118],"unbiasedness":[120],"update":[124],"with":[125],"respect":[126],"ideal":[129],"fully":[130],"reliable":[131],"FedAvg":[132],"scheme,":[133],"even":[134],"when":[135],"subset":[137],"nodes":[140],"fails":[141],"their":[144],"models":[145],"within":[146],"specified":[148],"delay":[149],"constraint.":[150],"Comprehensive":[151],"experimental":[152],"evaluations":[153],"validate":[154],"that":[155],"proposed":[157],"significantly":[159],"improves":[160],"accuracy":[162],"maintains":[164],"robustness":[165],"against":[166],"unreliability":[168],"distributed":[171],"environments.":[172]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-04-11T00:00:00"}
