{"id":"https://openalex.org/W4401589241","doi":"https://doi.org/10.1007/s40747-024-01573-2","title":"Swarm mutual learning","display_name":"Swarm mutual learning","publication_year":2024,"publication_date":"2024-08-14","ids":{"openalex":"https://openalex.org/W4401589241","doi":"https://doi.org/10.1007/s40747-024-01573-2"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01573-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01573-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01573-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01573-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kang Haiyan","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kang Haiyan","raw_affiliation_strings":["Information Security Department, Beijing Information Science and Technology University, Beijing, 100192, China"],"affiliations":[{"raw_affiliation_string":"Information Security Department, Beijing Information Science and Technology University, Beijing, 100192, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005116384","display_name":"Wang Jiakang","orcid":null},"institutions":[{"id":"https://openalex.org/I17721919","display_name":"Shanxi Medical University","ror":"https://ror.org/0265d1010","country_code":"CN","type":"education","lineage":["https://openalex.org/I17721919"]},{"id":"https://openalex.org/I4210160763","display_name":"Shanxi Provincial People\u2019s Hospital","ror":"https://ror.org/057ckzt47","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I17721919","https://openalex.org/I4210160763"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Jiakang","raw_affiliation_strings":["Information Security Department, Beijing Information Science and Technology University, Beijing, 100192, China","Shanxi Provincial Trade School, Taiyuan, 030012, China"],"affiliations":[{"raw_affiliation_string":"Information Security Department, Beijing Information Science and Technology University, Beijing, 100192, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Shanxi Provincial Trade School, Taiyuan, 030012, China","institution_ids":["https://openalex.org/I4210160763","https://openalex.org/I17721919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.0107,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80168649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"10","issue":"6","first_page":"8063","last_page":"8077"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9805999994277954,"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/T10320","display_name":"Neural Networks and Applications","score":0.9805999994277954,"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/T10057","display_name":"Face and Expression Recognition","score":0.9757000207901001,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9745000004768372,"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/computational-intelligence","display_name":"Computational intelligence","score":0.7237592935562134},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.5948333144187927},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.50426185131073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48081696033477783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47107994556427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24552056193351746},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.09954053163528442}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7237592935562134},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.5948333144187927},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.50426185131073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48081696033477783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47107994556427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24552056193351746},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.09954053163528442}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01573-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01573-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01573-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6bf8477015b8400a9d353d71cc9bc39f","is_oa":true,"landing_page_url":"https://doaj.org/article/6bf8477015b8400a9d353d71cc9bc39f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8063-8077 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01573-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01573-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01573-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401589241.pdf","grobid_xml":"https://content.openalex.org/works/W4401589241.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2010570954","https://openalex.org/W2129997629","https://openalex.org/W2620998106","https://openalex.org/W3012561096","https://openalex.org/W3015735225","https://openalex.org/W3034368386","https://openalex.org/W3091870957","https://openalex.org/W3102031770","https://openalex.org/W3113395635","https://openalex.org/W3138154797","https://openalex.org/W3140753276","https://openalex.org/W3164573547","https://openalex.org/W3180608480","https://openalex.org/W3200969281","https://openalex.org/W4206508980","https://openalex.org/W4206573848","https://openalex.org/W4213203443","https://openalex.org/W4224227775","https://openalex.org/W4225746601","https://openalex.org/W4226461837","https://openalex.org/W4282924988","https://openalex.org/W4285505364","https://openalex.org/W4287094564","https://openalex.org/W4294982475","https://openalex.org/W4295951577","https://openalex.org/W4306914119","https://openalex.org/W4312592506","https://openalex.org/W4313590987","https://openalex.org/W4317815242","https://openalex.org/W4365509262","https://openalex.org/W4366526517","https://openalex.org/W4377293783","https://openalex.org/W4381855603"],"related_works":["https://openalex.org/W4308079021","https://openalex.org/W1527337688","https://openalex.org/W2399799070","https://openalex.org/W2048054807","https://openalex.org/W2746377055","https://openalex.org/W4386001959","https://openalex.org/W2594296178","https://openalex.org/W3089846858","https://openalex.org/W3012322385","https://openalex.org/W4304182880"],"abstract_inverted_index":{"With":[0],"the":[1,44,60,70,105,123,138,144,156,162,165,171],"rapid":[2],"growth":[3],"of":[4,72,155,164],"big":[5],"data,":[6],"extracting":[7],"meaningful":[8],"knowledge":[9,73],"from":[10],"data":[11,21,28],"is":[12],"crucial":[13],"for":[14,174],"machine":[15],"learning.":[16],"The":[17],"existing":[18],"Swarm":[19,45],"Learning":[20,47],"collaboration":[22],"models":[23],"face":[24],"challenges":[25],"such":[26],"as":[27],"security,":[29,31],"model":[30,36,106,135,146],"high":[32],"communication":[33,114,172],"overhead,":[34],"and":[35,67,75,118,132,141,150,176],"performance":[37],"optimization.":[38],"To":[39],"address":[40],"this,":[41],"we":[42,50,81,121,168],"propose":[43],"Mutual":[46,54],"(SML).":[48],"Firstly,":[49],"introduce":[51],"an":[52],"Adaptive":[53],"Distillation":[55],"Algorithm":[56,87,98],"that":[57],"dynamically":[58],"controls":[59],"learning":[61],"intensity":[62],"based":[63,88],"on":[64,89,126],"distillation":[65],"weights":[66],"strength,":[68],"enhancing":[69],"efficiency":[71,133],"extraction":[74],"transfer":[76],"during":[77,116],"mutual":[78],"distillation.":[79],"Secondly,":[80],"design":[82],"a":[83,94],"Global":[84],"Parameter":[85],"Aggregation":[86],"homomorphic":[90],"encryption,":[91],"coupled":[92],"with":[93],"Dynamic":[95],"Gradient":[96],"Decomposition":[97],"using":[99],"singular":[100],"value":[101],"decomposition.":[102],"This":[103],"allows":[104],"to":[107],"aggregate":[108],"parameters":[109],"in":[110,134],"ciphertext,":[111],"significantly":[112,169],"reducing":[113],"overhead":[115,173],"uploads":[117],"downloads.":[119],"Finally,":[120],"validate":[122],"proposed":[124],"methods":[125],"real":[127],"datasets,":[128],"demonstrating":[129],"their":[130],"effectiveness":[131],"updates.":[136],"On":[137],"MNIST":[139],"dataset":[140],"CIFAR-10":[142],"dataset,":[143],"local":[145],"accuracies":[147],"reached":[148],"95.02%":[149],"55.26%,":[151],"respectively,":[152],"surpassing":[153],"those":[154],"comparative":[157],"models.":[158],"Furthermore,":[159],"while":[160],"ensuring":[161],"security":[163],"aggregation":[166],"process,":[167],"reduced":[170],"uploading":[175],"downloading.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
