{"id":"https://openalex.org/W4403331946","doi":"https://doi.org/10.23919/fusion59988.2024.10706436","title":"A Federated Learning Mechanism with Feature Drift for Feature Distribution Skew","display_name":"A Federated Learning Mechanism with Feature Drift for Feature Distribution Skew","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4403331946","doi":"https://doi.org/10.23919/fusion59988.2024.10706436"},"language":"en","primary_location":{"id":"doi:10.23919/fusion59988.2024.10706436","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","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/A5015129574","display_name":"Jihao Yang","orcid":"https://orcid.org/0009-0006-2665-0716"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihao Yang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067532429","display_name":"Xinyang Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyang Deng","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089177690","display_name":"Laisen Nie","orcid":"https://orcid.org/0000-0001-8813-7738"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laisen Nie","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041289658","display_name":"Wen Jiang","orcid":"https://orcid.org/0000-0001-5429-2748"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Jiang","raw_affiliation_strings":["Northwestern Polytechnical University,School of Electronics and Information,Xi&#x2019;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,School of Electronics and Information,Xi&#x2019;an,China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.883400022983551,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.883400022983551,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.8427000045776367,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8203999996185303,"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/skew","display_name":"Skew","score":0.855587899684906},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7777602672576904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6987746357917786},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6746942400932312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5113410353660583},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.48519113659858704},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.4473360478878021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3848112225532532},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2588611841201782},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0918121337890625},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0642014741897583},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05124959349632263}],"concepts":[{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.855587899684906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7777602672576904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6987746357917786},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6746942400932312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5113410353660583},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.48519113659858704},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.4473360478878021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3848112225532532},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2588611841201782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0918121337890625},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0642014741897583},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05124959349632263},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fusion59988.2024.10706436","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fusion59988.2024.10706436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2100659887","https://openalex.org/W2112796928","https://openalex.org/W2149466042","https://openalex.org/W2335728318","https://openalex.org/W2560674852","https://openalex.org/W2605800822","https://openalex.org/W2618530766","https://openalex.org/W2912213068","https://openalex.org/W2972570881","https://openalex.org/W2981720610","https://openalex.org/W2995022099","https://openalex.org/W3021654819","https://openalex.org/W3209696639","https://openalex.org/W4225978071","https://openalex.org/W6639480849","https://openalex.org/W6703116779","https://openalex.org/W6728757088","https://openalex.org/W6759238902","https://openalex.org/W6767676916","https://openalex.org/W6789305514","https://openalex.org/W6848993857"],"related_works":["https://openalex.org/W2990081132","https://openalex.org/W4296984035","https://openalex.org/W3127121676","https://openalex.org/W3108206468","https://openalex.org/W4290802965","https://openalex.org/W3091433184","https://openalex.org/W97789383","https://openalex.org/W4245534163","https://openalex.org/W4289242525","https://openalex.org/W2902096670"],"abstract_inverted_index":{"Federated":[0],"learning":[1,7,56,80,94,176],"is":[2,118],"a":[3,17,20,27,90,98],"nascent":[4],"distributed":[5,44],"machine":[6],"paradigm":[8],"that":[9,43],"enables":[10],"multiple":[11,153],"clients":[12,108],"to":[13,65,126,143],"collaborate":[14],"in":[15,54,78,168],"training":[16],"model":[18,112,129,172],"for":[19],"specific":[21],"task":[22],"under":[23,177],"the":[24,33,36,41,67,71,104,110,114,121,134,137,145,163,171],"coordination":[25],"of":[26,35,74,107,113,165,174],"central":[28],"server,":[29],"all":[30],"while":[31],"safeguarding":[32],"privacy":[34],"user\u2019s":[37],"local":[38,49,105,123,128,146],"data.":[39],"Nevertheless,":[40],"constraint":[42],"datasets":[45,154],"must":[46],"remain":[47],"within":[48],"nodes":[50],"introduces":[51],"data":[52,72],"heterogeneity":[53,73],"federated":[55,79,93,175],"training.":[57,83],"In":[58],"this":[59,86],"paper,":[60],"we":[61,88,132],"focus":[62],"on":[63,152],"how":[64],"mitigate":[66],"damage":[68],"caused":[69],"by":[70],"feature":[75,91,99,156,178],"distribution":[76,157,179],"skew":[77],"models":[81,106,139],"during":[82],"To":[84],"achieve":[85],"goal,":[87],"propose":[89],"drift-corrected":[92],"algorithm.":[95],"We":[96],"design":[97],"drift":[100],"variable":[101,117],"derived":[102],"from":[103],"and":[109,141],"global":[111,138],"server.":[115],"This":[116],"incorporated":[119],"into":[120],"client\u2019s":[122],"loss":[124],"function":[125],"rectify":[127],"parameters.":[130],"Additionally,":[131],"utilize":[133],"disparity":[135],"between":[136],"before":[140],"after":[142],"regulate":[144],"model.":[147],"Validation":[148],"experiments":[149],"are":[150],"conducted":[151],"exhibiting":[155],"skew.":[158,180],"The":[159],"implementation":[160],"results":[161],"demonstrate":[162],"efficacy":[164],"our":[166],"approach":[167],"significantly":[169],"enhancing":[170],"performance":[173]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
