{"id":"https://openalex.org/W4415707897","doi":"https://doi.org/10.1109/icme59968.2025.11210167","title":"Enhancing Federated Learning Robustness with Pre-trained Staged Modular Distillation","display_name":"Enhancing Federated Learning Robustness with Pre-trained Staged Modular Distillation","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707897","doi":"https://doi.org/10.1109/icme59968.2025.11210167"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11210167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5074323269","display_name":"Jiankang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiankang Wei","raw_affiliation_strings":["Qufu Normal University,School of Cyber Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Cyber Science and Engineering,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701890","display_name":"Xu Ma","orcid":"https://orcid.org/0000-0003-4793-8509"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Ma","raw_affiliation_strings":["Qufu Normal University,School of Cyber Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Cyber Science and Engineering,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082886782","display_name":"Yuan Ma","orcid":"https://orcid.org/0000-0002-7846-4863"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Ma","raw_affiliation_strings":["Qufu Normal University,School of Cyber Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Cyber Science and Engineering,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045620893","display_name":"Hongwei Zhou","orcid":"https://orcid.org/0000-0002-6030-9523"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hongwei Zhou","raw_affiliation_strings":["Guangzhou University,Institute of Artificial Intelligence,China"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,Institute of Artificial Intelligence,China","institution_ids":["https://openalex.org/I4210164862"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068161526","display_name":"Junyang Huang","orcid":"https://orcid.org/0000-0001-6676-495X"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingtong Huang","raw_affiliation_strings":["Qufu Normal University,School of Cyber Science and Engineering,China"],"affiliations":[{"raw_affiliation_string":"Qufu Normal University,School of Cyber Science and Engineering,China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100419421","display_name":"Xiaoyu Zhang","orcid":"https://orcid.org/0000-0002-8125-754X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Zhang","raw_affiliation_strings":["Xidian University,State Key Laboratory of Integrated Service Networks(ISN),China"],"affiliations":[{"raw_affiliation_string":"Xidian University,State Key Laboratory of Integrated Service Networks(ISN),China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074323269"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17506189,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.8889999985694885,"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":0.8889999985694885,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.015200000256299973,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.011599999852478504,"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/backdoor","display_name":"Backdoor","score":0.9868000149726868},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.8163999915122986},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7648000121116638},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.7426999807357788},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.39739999175071716},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.36059999465942383},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.35569998621940613}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9868000149726868},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.8163999915122986},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7648000121116638},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.7426999807357788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250999808311462},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3790000081062317},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3492000102996826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3443000018596649},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3172999918460846},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.29670000076293945},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.27630001306533813},{"id":"https://openalex.org/C15845906","wikidata":"https://www.wikidata.org/wiki/Q1172338","display_name":"Data exchange","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11210167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11210167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2982353841","https://openalex.org/W3133814152","https://openalex.org/W3215322745","https://openalex.org/W4283796083","https://openalex.org/W4386066154"],"related_works":[],"abstract_inverted_index":{"Federated":[0,65],"learning":[1,62],"(FL)":[2],"addresses":[3],"issues":[4],"related":[5],"to":[6,25,48,136],"data":[7,14,33],"privacy":[8],"and":[9,16,37,74,106,121],"security":[10],"yet":[11],"suffering":[12],"from":[13],"insufficiency":[15],"imbalance.":[17],"Introducing":[18],"pre-trained":[19,38,43,82,119,129],"models":[20,44,83,120],"offers":[21],"a":[22,57],"promising":[23],"solution":[24],"these":[26],"problems.":[27],"However,":[28],"existing":[29],"methods":[30,99],"assume":[31],"similar":[32],"distributions":[34],"between":[35],"local":[36],"models.":[39,91],"Moreover,":[40],"training":[41],"with":[42],"increases":[45],"the":[46,90,113,132],"susceptibility":[47],"backdoor":[49,88,126],"attacks.":[50],"To":[51],"address":[52],"this":[53],"challenge,":[54],"we":[55],"propose":[56],"novel":[58],"robust":[59],"personalized":[60],"federated":[61],"method,":[63],"Personalized":[64],"Staged":[66],"Modular":[67],"Distillation":[68],"(pFedSMD).":[69],"By":[70],"integrating":[71],"staged":[72],"distillation":[73],"parameter":[75],"decoupling,":[76],"pFedSMD":[77,96,110],"not":[78],"only":[79],"effectively":[80,111],"aggregates":[81],"but":[84],"also":[85],"disrupts":[86],"potential":[87],"within":[89,137],"Experimental":[92],"results":[93],"demonstrate":[94],"that":[95],"outperforms":[97],"baseline":[98],"on":[100],"four":[101],"datasets":[102],"under":[103],"both":[104],"IID":[105],"Non-IID":[107],"settings.":[108],"Additionally,":[109],"mitigates":[112],"adverse":[114],"impacts":[115],"of":[116],"using":[117],"different":[118],"excels":[122],"in":[123,128],"defending":[124],"against":[125],"attacks":[127],"models,":[130],"reducing":[131],"attack":[133],"success":[134],"rate":[135],"10%.":[138]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-30T00:00:00"}
