{"id":"https://openalex.org/W7134844154","doi":"https://doi.org/10.48550/arxiv.2603.06646","title":"Trust Aware Federated Learning for Secure Bone Healing Stage Interpretation in e-Health","display_name":"Trust Aware Federated Learning for Secure Bone Healing Stage Interpretation in e-Health","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7134844154","doi":"https://doi.org/10.48550/arxiv.2603.06646"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.06646","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124850990","display_name":"Paul Shepherd","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shepherd, Paul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128677600","display_name":"Tasos Dagiuklas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dagiuklas, Tasos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000439353","display_name":"Bu\u011fra Alkan","orcid":"https://orcid.org/0000-0002-5994-4351"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alkan, Bugra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128659071","display_name":"Joaquim Bastos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bastos, Joaquim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128673372","display_name":"Jonathan Rodriguez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rodriguez, Jonathan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2678332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.2110999971628189,"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":0.2110999971628189,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.09149999916553497,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.08449999988079071,"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/smoothing","display_name":"Smoothing","score":0.5442000031471252},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49160000681877136},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.48539999127388},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.45329999923706055},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3402999937534332},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.3377000093460083},{"id":"https://openalex.org/keywords/trust-management","display_name":"Trust management (information system)","score":0.3310000002384186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7998999953269958},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49160000681877136},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45590001344680786},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.45329999923706055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4309999942779541},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4058000147342682},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C2776384856","wikidata":"https://www.wikidata.org/wiki/Q17145767","display_name":"Trust management (information system)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.06646","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.06646","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.06646","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,46,94,194],"trust":[4,85,103,109,149,179],"aware":[5],"federated":[6,182],"learning":[7],"(FL)":[8],"framework":[9,44],"for":[10,177],"interpreting":[11],"bone":[12],"healing":[13],"stages":[14],"using":[15,54],"spectral":[16],"features":[17],"derived":[18],"from":[19,112],"frequency":[20],"response":[21],"data.":[22],"The":[23,43,59,172],"primary":[24],"objective":[25],"is":[26],"to":[27,78,102,132,188],"address":[28],"the":[29,55,134,139,161,175],"challenge":[30],"posed":[31],"by":[32,159],"either":[33],"unreliable":[34],"or":[35],"adversarial":[36],"participants":[37],"in":[38,181],"distributed":[39],"medical":[40,183],"sensing":[41,184],"environments.":[42],"employs":[45],"multi-layer":[47],"perceptron":[48],"model":[49,121],"trained":[50],"across":[51],"simulated":[52],"clients":[53,166],"Flower":[56],"FL":[57],"framework.":[58],"proposed":[60],"approach":[61],"integrates":[62],"an":[63],"Adaptive":[64],"Trust":[65],"Score":[66],"Scaling":[67],"and":[68,81,97,114,156,185],"Filtering":[69],"(ATSSSF)":[70],"mechanism":[71],"with":[72,93,107,138],"exponential":[73],"moving":[74],"average":[75],"(EMA)":[76],"smoothing":[77,87],"assess,":[79],"validate":[80],"filter":[82],"client":[83],"contributions.Two":[84],"score":[86,104],"strategies":[88],"have":[89,129],"been":[90,130],"investigated,":[91],"one":[92],"fixed":[95],"factor":[96],"another":[98],"that":[99,147],"adapts":[100],"according":[101],"variability.":[105],"Clients":[106],"low":[108],"are":[110],"excluded":[111],"aggregation":[113,192],"readmitted":[115],"once":[116],"their":[117],"reliability":[118],"improves,":[119],"ensuring":[120],"integrity":[122],"while":[123,167],"maintaining":[124],"inclusivity.":[125],"Standard":[126],"classification":[127],"metrics":[128],"used":[131],"compare":[133],"performance":[135,158],"of":[136,164],"ATSSSF":[137],"baseline":[140],"Federated":[141],"Averaging":[142],"strategy.":[143],"Experimental":[144],"results":[145],"demonstrate":[146],"adaptive":[148,178],"management":[150],"can":[151],"improve":[152],"both":[153],"training":[154],"stability":[155],"predictive":[157],"mitigating":[160],"negative":[162],"effects":[163],"compromised":[165],"retaining":[168],"robust":[169],"detection":[170],"capabilities.":[171],"work":[173],"establishes":[174],"feasibility":[176],"mechanisms":[180],"identifies":[186],"extension":[187],"clinical":[189],"cross":[190],"silo":[191],"as":[193],"future":[195],"research":[196],"direction.":[197]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-11T00:00:00"}
