{"id":"https://openalex.org/W4417169014","doi":"https://doi.org/10.1109/jiot.2025.3641888","title":"PHH-FL: Perceptual Hashing Hypernetwork Personalized Federated Learning for Heterogeneous Medical Image Analysis Tasks","display_name":"PHH-FL: Perceptual Hashing Hypernetwork Personalized Federated Learning for Heterogeneous Medical Image Analysis Tasks","publication_year":2025,"publication_date":"2025-12-09","ids":{"openalex":"https://openalex.org/W4417169014","doi":"https://doi.org/10.1109/jiot.2025.3641888"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3641888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3641888","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":null,"display_name":"Yu Sun","orcid":"https://orcid.org/0009-0009-1965-2838"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Sun","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0009-1965-2838","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430478","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-1657-209X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-1657-209X","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103247786","display_name":"Like Li","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Like Li","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-2908-0756","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017005267","display_name":"Ting Feng","orcid":"https://orcid.org/0000-0001-5170-8365"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Feng","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5170-8365","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692194","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-2041-4580"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2041-4580","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069744156","display_name":"Shen Yin","orcid":"https://orcid.org/0000-0002-3802-9269"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Shen Yin","raw_affiliation_strings":["Department of Mechanical and Industrial Engineering, Faculty of Engineering, Norwegian University of Science and Technology, Trondheim, Norway"],"raw_orcid":"https://orcid.org/0000-0002-3802-9269","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Industrial Engineering, Faculty of Engineering, Norwegian University of Science and Technology, Trondheim, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":10.6885,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98085422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"5","first_page":"8712","last_page":"8724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.31310001015663147,"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":0.31310001015663147,"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/T11448","display_name":"Face recognition and analysis","score":0.2623000144958496,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0421999990940094,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7261000275611877},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6654999852180481},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6445000171661377},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5166000127792358},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4474000036716461},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41940000653266907},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.41359999775886536},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4043999910354614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8833000063896179},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7261000275611877},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6654999852180481},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6445000171661377},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5166000127792358},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4291999936103821},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41940000653266907},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41359999775886536},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4043999910354614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3853999972343445},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.33719998598098755},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.3212999999523163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30649998784065247},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.30239999294281006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28349998593330383},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2766000032424927},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3641888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3641888","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/G1560317937","display_name":null,"funder_award_id":"F2025501024","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G3134854121","display_name":null,"funder_award_id":"F2024501044","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2889232360","https://openalex.org/W2963446712","https://openalex.org/W2981679558","https://openalex.org/W2995022099","https://openalex.org/W3004531689","https://openalex.org/W3030790048","https://openalex.org/W3033502887","https://openalex.org/W3035719652","https://openalex.org/W3104631511","https://openalex.org/W3130794141","https://openalex.org/W3155912831","https://openalex.org/W3165750456","https://openalex.org/W3173102465","https://openalex.org/W3175307072","https://openalex.org/W4226461837","https://openalex.org/W4285817743","https://openalex.org/W4308102317","https://openalex.org/W4312634912","https://openalex.org/W4313554955","https://openalex.org/W4386231154","https://openalex.org/W4386938061","https://openalex.org/W4388145633","https://openalex.org/W4392699793","https://openalex.org/W4403502257","https://openalex.org/W4404417811","https://openalex.org/W4409102058","https://openalex.org/W4411725331"],"related_works":[],"abstract_inverted_index":{"Federated":[0,55],"learning":[1],"(FL)":[2],"faces":[3],"significant":[4],"challenges":[5],"in":[6],"medical":[7,138],"image":[8,139],"analysis":[9],"due":[10],"to":[11,27,41,58,71,87,100],"data":[12,78],"heterogeneity":[13],"among":[14,81],"clients,":[15,105],"where":[16],"balancing":[17],"personalization":[18,34,61,160],"and":[19,62,83,130,141,161],"generalization":[20,109],"is":[21,98],"challenging.":[22],"Existing":[23],"methods":[24],"often":[25],"struggle":[26],"achieve":[28],"both":[29,60],"objectives":[30],"simultaneously,":[31],"as":[32],"excessive":[33],"reduces":[35,128],"generalization,":[36],"while":[37,133],"over-generalization":[38],"weakens":[39],"adaptation":[40],"client-specific":[42],"features.":[43],"To":[44],"address":[45],"these":[46],"challenges,":[47],"we":[48],"propose":[49],"a":[50,67,73,85],"Perceptual":[51],"Hashing":[52],"Hypernetwork":[53],"Personalized":[54],"Learning":[56],"(PHH-FL)":[57],"enhance":[59],"generalization.":[63,162],"PHH-FL":[64,127,146],"first":[65],"uses":[66],"perceptual":[68],"hashing":[69],"algorithm":[70],"construct":[72],"similarity":[74],"matrix":[75],"that":[76,145,154],"captures":[77],"distribution":[79],"differences":[80],"clients":[82],"employs":[84],"hypernetwork":[86,97],"generate":[88],"personalized":[89],"parameters":[90,118],"for":[91,119],"each":[92],"client.":[93],"Meanwhile,":[94],"the":[95,108,112,120,124,155],"shared":[96],"introduced":[99],"promote":[101],"knowledge":[102],"transfer":[103],"between":[104],"thereby":[106],"enhancing":[107],"ability":[110],"of":[111,123],"local":[113],"model.":[114],"By":[115],"selectively":[116],"generating":[117],"initial":[121],"layers":[122],"target":[125],"network,":[126],"computational":[129],"communication":[131],"costs":[132],"maintaining":[134],"performance.":[135],"Experiments":[136],"on":[137],"classification":[140],"segmentation":[142],"tasks":[143],"show":[144],"outperforms":[147],"state-of-the-art":[148],"methods.":[149],"Ablation":[150],"studies":[151],"further":[152],"demonstrate":[153],"proposed":[156],"framework":[157],"effectively":[158],"balances":[159]},"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-12-09T00:00:00"}