{"id":"https://openalex.org/W4221148879","doi":"https://doi.org/10.1109/tmi.2022.3222126","title":"Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases","display_name":"Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases","publication_year":2022,"publication_date":"2022-11-14","ids":{"openalex":"https://openalex.org/W4221148879","doi":"https://doi.org/10.1109/tmi.2022.3222126","pmid":"https://pubmed.ncbi.nlm.nih.gov/36374877"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3222126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3222126","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.07345","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067628513","display_name":"Hasan Kassem","orcid":"https://orcid.org/0000-0001-5830-8890"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hasan Kassem","raw_affiliation_strings":["ICube, CNRS, University of Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0001-5830-8890","affiliations":[{"raw_affiliation_string":"ICube, CNRS, University of Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087529010","display_name":"Deepak Alapatt","orcid":"https://orcid.org/0000-0001-6223-3270"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I68947357","display_name":"Universit\u00e9 de Strasbourg","ror":"https://ror.org/00pg6eq24","country_code":"FR","type":"education","lineage":["https://openalex.org/I68947357"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Deepak Alapatt","raw_affiliation_strings":["ICube, CNRS, University of Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0001-6223-3270","affiliations":[{"raw_affiliation_string":"ICube, CNRS, University of Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I68947357","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084800516","display_name":"Pietro Mascagni","orcid":"https://orcid.org/0000-0001-7288-3023"},"institutions":[{"id":"https://openalex.org/I4210160625","display_name":"Institut de Chirurgie Guid\u00e9e par l'Image","ror":"https://ror.org/053694011","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210160625"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pietro Mascagni","raw_affiliation_strings":["IHU Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0001-7288-3023","affiliations":[{"raw_affiliation_string":"IHU Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I4210160625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041913317","display_name":"Alexandros Karargyris","orcid":"https://orcid.org/0000-0002-1930-3410"},"institutions":[{"id":"https://openalex.org/I4210160625","display_name":"Institut de Chirurgie Guid\u00e9e par l'Image","ror":"https://ror.org/053694011","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210160625"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandros Karargyris","raw_affiliation_strings":["IHU Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0002-1930-3410","affiliations":[{"raw_affiliation_string":"IHU Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I4210160625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071976104","display_name":"Nicolas Padoy","orcid":"https://orcid.org/0000-0002-5010-4137"},"institutions":[{"id":"https://openalex.org/I4210160625","display_name":"Institut de Chirurgie Guid\u00e9e par l'Image","ror":"https://ror.org/053694011","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4210160625"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Padoy","raw_affiliation_strings":["IHU Strasbourg, Strasbourg, France"],"raw_orcid":"https://orcid.org/0000-0002-5010-4137","affiliations":[{"raw_affiliation_string":"IHU Strasbourg, Strasbourg, France","institution_ids":["https://openalex.org/I4210160625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4363,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60725353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"42","issue":"7","first_page":"1920","last_page":"1931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.6363000273704529,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.6363000273704529,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.019600000232458115,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.016699999570846558,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7872622013092041},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6678042411804199},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6547220349311829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5974833369255066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.580845057964325},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5663319230079651},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5263917446136475},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5167995691299438},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.48837417364120483},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.47474390268325806},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.4498063325881958},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43839022517204285},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4333977699279785},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41527116298675537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872622013092041},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6678042411804199},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6547220349311829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974833369255066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.580845057964325},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5663319230079651},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5263917446136475},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5167995691299438},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.48837417364120483},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.47474390268325806},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.4498063325881958},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43839022517204285},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4333977699279785},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41527116298675537},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013514","descriptor_name":"Surgical Procedures, Operative","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013514","descriptor_name":"Surgical Procedures, Operative","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013514","descriptor_name":"Surgical Procedures, Operative","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1109/tmi.2022.3222126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3222126","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:36374877","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36374877","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:arXiv.org:2203.07345","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.07345","pdf_url":"https://arxiv.org/pdf/2203.07345","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03864828v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03864828","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging, 2022, pp.1-1. ⟨10.1109/TMI.2022.3222126⟩","raw_type":"Journal articles"},{"id":"pmh:oai:iris.uniroma1.it:11573/1666085","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1666085","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.2203.07345","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2203.07345","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.07345","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.07345","pdf_url":"https://arxiv.org/pdf/2203.07345","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1004588981","display_name":null,"funder_award_id":"ANR-10-IAHU-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G1536759560","display_name":null,"funder_award_id":"ANR-10-IAHU-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G3954744813","display_name":null,"funder_award_id":"ANR-20-CHIA-0029-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G54056163","display_name":"Automatic Endoscopic Scene Assessment for Safety Checkpoint Validation in the Operating Room","funder_award_id":"ANR-20-CHIA-0029","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2138621090","https://openalex.org/W2194775991","https://openalex.org/W2266464013","https://openalex.org/W2580456502","https://openalex.org/W2621036075","https://openalex.org/W2963853051","https://openalex.org/W2963863119","https://openalex.org/W2980216307","https://openalex.org/W3012501605","https://openalex.org/W3045674654","https://openalex.org/W3045736930","https://openalex.org/W3047058059","https://openalex.org/W3092562667","https://openalex.org/W3100964249","https://openalex.org/W3101712992","https://openalex.org/W3115710758","https://openalex.org/W3119083236","https://openalex.org/W3127057363","https://openalex.org/W3132522414","https://openalex.org/W3150684546","https://openalex.org/W3177966841","https://openalex.org/W3182160279","https://openalex.org/W3183010114","https://openalex.org/W3193756050","https://openalex.org/W3200614013","https://openalex.org/W3201659970","https://openalex.org/W3204597713","https://openalex.org/W3212407416","https://openalex.org/W4213177592","https://openalex.org/W4225482284","https://openalex.org/W4281612613","https://openalex.org/W6728757088","https://openalex.org/W6729521747","https://openalex.org/W6749954789","https://openalex.org/W6751703357","https://openalex.org/W6755616390","https://openalex.org/W6756515790","https://openalex.org/W6762913911","https://openalex.org/W6765939562","https://openalex.org/W6770046221","https://openalex.org/W6773005947","https://openalex.org/W6774314701","https://openalex.org/W6776563290","https://openalex.org/W6784870874","https://openalex.org/W6785687333","https://openalex.org/W6788603650","https://openalex.org/W6791049809","https://openalex.org/W6791612314","https://openalex.org/W6797253510","https://openalex.org/W6798012962","https://openalex.org/W6798294619","https://openalex.org/W6798717261","https://openalex.org/W6801680838","https://openalex.org/W6801838286","https://openalex.org/W6802285627"],"related_works":["https://openalex.org/W1141814","https://openalex.org/W15740437","https://openalex.org/W10553295","https://openalex.org/W10980763","https://openalex.org/W5236451","https://openalex.org/W5979161","https://openalex.org/W628720","https://openalex.org/W14576171","https://openalex.org/W9531778","https://openalex.org/W8671328"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,80,93,135],"deep":[3],"learning":[4,51,101,109,148],"methods":[5,23,52,162],"bring":[6],"computer-assistance":[7],"a":[8,38,77,98,112,173],"step":[9],"closer":[10],"to":[11,67,110],"fulfilling":[12],"promises":[13],"of":[14,21,45,115,127,166,169,178],"safer":[15],"surgical":[16,128,170],"procedures.":[17],"However,":[18],"the":[19,42,65,125,136,164],"generalizability":[20],"such":[22,53],"is":[24,37,87],"often":[25,88],"dependent":[26],"on":[27,29,61,124,144,163,195],"training":[28,60,143],"diverse":[30],"datasets":[31,63],"from":[32,197],"multiple":[33],"medical":[34,46],"institutions,":[35],"which":[36],"restrictive":[39],"requirement":[40],"considering":[41],"sensitive":[43],"nature":[44],"data.":[47,70],"Recently":[48],"proposed":[49],"collaborative":[50],"as":[54],"Federated":[55],"Learning":[56],"(FL)":[57],"allow":[58],"for":[59,151],"remote":[62],"without":[64],"need":[66],"explicitly":[68],"share":[69],"Even":[71],"so,":[72],"data":[73,146,196],"annotation":[74],"still":[75],"represents":[76],"bottleneck,":[78],"particularly":[79],"medicine":[81],"and":[82,107,118],"surgery":[83],"where":[84],"clinical":[85],"expertise":[86],"required.":[89],"With":[90],"these":[91],"constraints":[92],"mind,":[94],"we":[95,183],"propose":[96],"FedCy,":[97],"federated":[99],"semi-supervised":[100],"(FSSL)":[102],"method":[103],"that":[104,185],"combines":[105],"FL":[106],"self-supervised":[108],"exploit":[111],"decentralized":[113],"dataset":[114,177],"both":[116],"labeled":[117,137],"unlabeled":[119,145],"videos,":[120],"thereby":[121],"improving":[122],"performance":[123,157],"task":[126,165],"phase":[129,152],"recognition.":[130,153],"By":[131],"leveraging":[132],"temporal":[133],"patterns":[134],"data,":[138],"FedCy":[139],"helps":[140],"guide":[141],"unsupervised":[142],"towards":[147],"task-specific":[149],"features":[150,192],"We":[154],"demonstrate":[155,184],"significant":[156],"gains":[158],"over":[159],"state-of-the-art":[160],"FSSL":[161],"automatic":[167],"recognition":[168],"phases":[171],"using":[172],"newly":[174],"collected":[175],"multi-institutional":[176],"laparoscopic":[179],"cholecystectomy":[180],"videos.":[181],"Furthermore,":[182],"our":[186],"approach":[187],"also":[188],"learns":[189],"more":[190],"generalizable":[191],"when":[193],"tested":[194],"an":[198],"unseen":[199],"domain.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2022-04-03T00:00:00"}