{"id":"https://openalex.org/W7164810288","doi":"https://doi.org/10.1109/jiot.2026.3703645","title":"Privacy-Preserving Federated Multimodal Agriproduct Anomaly Detection in AIoT via Modality-Under-Optimized Knowledge Distillation","display_name":"Privacy-Preserving Federated Multimodal Agriproduct Anomaly Detection in AIoT via Modality-Under-Optimized Knowledge Distillation","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164810288","doi":"https://doi.org/10.1109/jiot.2026.3703645"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3703645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3703645","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5032437631","display_name":"Jianhao Wei","orcid":"https://orcid.org/0000-0002-8091-9732"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhao Wei","raw_affiliation_strings":["Hunan University of Technology and Business"],"raw_orcid":"https://orcid.org/0000-0002-8091-9732","affiliations":[{"raw_affiliation_string":"Hunan University of Technology and Business","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138675393","display_name":"Mengjie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjie Li","raw_affiliation_strings":["Hunan University of Technology and Business"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University of Technology and Business","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043288082","display_name":"Chuang Li","orcid":"https://orcid.org/0000-0002-3139-2583"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Li","raw_affiliation_strings":["Hunan University of Technology and Business"],"raw_orcid":"https://orcid.org/0000-0002-3139-2583","affiliations":[{"raw_affiliation_string":"Hunan University of Technology and Business","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078360968","display_name":"Yanhua Wen","orcid":"https://orcid.org/0000-0001-6043-4028"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhua Wen","raw_affiliation_strings":["Hunan University of Technology and Business"],"raw_orcid":"https://orcid.org/0000-0001-6043-4028","affiliations":[{"raw_affiliation_string":"Hunan University of Technology and Business","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665311","display_name":"Limei Liu","orcid":"https://orcid.org/0000-0003-0105-074X"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limei Liu","raw_affiliation_strings":["Hunan University of Technology and Business"],"raw_orcid":"https://orcid.org/0000-0003-0105-074X","affiliations":[{"raw_affiliation_string":"Hunan University of Technology and Business","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012414145","display_name":"Qingyu Shi","orcid":"https://orcid.org/0000-0003-3620-2889"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Shi","raw_affiliation_strings":["Hunan University of Technology and Business"],"raw_orcid":"https://orcid.org/0000-0003-3620-2889","affiliations":[{"raw_affiliation_string":"Hunan University of Technology and Business","institution_ids":["https://openalex.org/I49934816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I49934816"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62082911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"16","first_page":"38227","last_page":"38241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.5784000158309937,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.5784000158309937,"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":0.05050000175833702,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.04610000178217888,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6510999798774719},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.3917999863624573},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.38749998807907104},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3628999888896942},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.32760000228881836},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.2928999960422516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379999995231628},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6510999798774719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46219998598098755},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3628999888896942},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31940001249313354},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.25859999656677246}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3703645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3703645","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8810137234","display_name":null,"funder_award_id":"62402177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":33,"referenced_works":["https://openalex.org/W4386289268","https://openalex.org/W4387185314","https://openalex.org/W4393156437","https://openalex.org/W4393157395","https://openalex.org/W4393158476","https://openalex.org/W4394923028","https://openalex.org/W4399657688","https://openalex.org/W4401025028","https://openalex.org/W4402404498","https://openalex.org/W4402716375","https://openalex.org/W4402916502","https://openalex.org/W4403758869","https://openalex.org/W4403780904","https://openalex.org/W4403791807","https://openalex.org/W4405520502","https://openalex.org/W4406753843","https://openalex.org/W4406947211","https://openalex.org/W4408222663","https://openalex.org/W4409362913","https://openalex.org/W4409364550","https://openalex.org/W4409366135","https://openalex.org/W4409367042","https://openalex.org/W4409368445","https://openalex.org/W4410086584","https://openalex.org/W4410343036","https://openalex.org/W4410614229","https://openalex.org/W4411203145","https://openalex.org/W4412871091","https://openalex.org/W4413156408","https://openalex.org/W4414406050","https://openalex.org/W4415797441","https://openalex.org/W4416582804","https://openalex.org/W7124446850"],"related_works":[],"abstract_inverted_index":{"As":[0],"a":[1,53,80,111,128,144,151,198],"key":[2],"application":[3],"of":[4,8,104],"the":[5,35,102,170],"Agricultural":[6],"Internet":[7],"Things":[9],"(AIoT),":[10],"multimodal":[11,56,86,145],"agriproduct":[12,57,146],"anomaly":[13,58,71,147,205],"detection":[14,42,59,72,148,160,206],"faces":[15],"severe":[16],"privacy":[17,45,75,82,103,202],"and":[18,32,44,100,190,194,204],"security":[19,166],"challenges.":[20],"Existing":[21],"federated":[22,55],"learning":[23],"(FL)":[24],"methods":[25],"struggle":[26],"to":[27,33,121,139,158],"capture":[28],"fine-grained":[29,87],"cross-modal":[30,97],"correlations":[31,99],"address":[34],"modality":[36],"under-optimization":[37],"problem,":[38],"thereby":[39],"limiting":[40],"both":[41],"accuracy":[43,161,191,207],"levels.":[46],"To":[47],"this":[48,50],"end,":[49],"paper":[51],"proposes":[52],"privacy-preserving":[54],"scheme":[60,172,187],"in":[61,208],"AIoT":[62,209],"based":[63,90,115,133],"on":[64,91,116,134],"modality-under-optimized":[65,117],"knowledge":[66,118],"distillation":[67,119],"(PAMAD),":[68],"achieving":[69,197],"high-utility":[70],"with":[73,150,181],"enhanced":[74],"protection.":[76],"Specifically,":[77],"we":[78,109],"develop":[79],"hierarchical":[81],"protection":[83,131,203],"method":[84,149],"for":[85],"alignment":[88],"fusion":[89],"meta-learning":[92],"(HPPMF),":[93],"which":[94],"effectively":[95],"captures":[96],"semantic":[98],"protects":[101],"fused":[105],"features.":[106],"In":[107],"addition,":[108],"propose":[110],"multi-task":[112],"pre-training":[113,129],"algorithm":[114,132],"(MTLMKD)":[120],"alleviate":[122],"modal":[123],"imbalance.":[124],"We":[125],"further":[126],"design":[127],"dynamic":[130],"adaptive":[135],"gradient":[136],"quantization":[137],"(PDAGC)":[138],"ensure":[140],"model":[141],"security.":[142],"Subsequently,":[143],"self-supervised":[152],"denoising":[153],"encoder":[154],"(MAPADSE)":[155],"is":[156],"introduced":[157],"improve":[159],"under":[162],"noisy":[163],"conditions.":[164],"Rigorous":[165],"analysis":[167],"demonstrates":[168],"that":[169],"PAMAD":[171,186],"satisfies":[173],"differential":[174],"privacy.":[175],"Experimental":[176],"results":[177],"show":[178],"that,":[179],"compared":[180],"existing":[182],"state-of-the-art":[183],"methods,":[184],"our":[185],"improves":[188],"AUROC":[189],"by":[192],"7.56%":[193],"8.71%,":[195],"respectively,":[196],"desirable":[199],"balance":[200],"between":[201],"services.":[210]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-16T00:00:00"}
