{"id":"https://openalex.org/W4387806839","doi":"https://doi.org/10.3390/rs15205050","title":"Local Differential Privacy Based Membership-Privacy-Preserving Federated Learning for Deep-Learning-Driven Remote Sensing","display_name":"Local Differential Privacy Based Membership-Privacy-Preserving Federated Learning for Deep-Learning-Driven Remote Sensing","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4387806839","doi":"https://doi.org/10.3390/rs15205050"},"language":"en","primary_location":{"id":"doi:10.3390/rs15205050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15205050","pdf_url":"https://www.mdpi.com/2072-4292/15/20/5050/pdf?version=1697812247","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/20/5050/pdf?version=1697812247","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100459192","display_name":"Zheng Zhang","orcid":"https://orcid.org/0009-0001-1263-8920"},"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":true,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["The School of Cyber Engineering, Xidian University, Xi\u2019an 710071, China","The School of Cyber Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"The School of Cyber Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The School of Cyber Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618931","display_name":"Xindi Ma","orcid":"https://orcid.org/0000-0002-0764-3741"},"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":"Xindi Ma","raw_affiliation_strings":["The School of Cyber Engineering, Xidian University, Xi\u2019an 710071, China","The School of Cyber Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"The School of Cyber Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The School of Cyber Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012016098","display_name":"Jianfeng Ma","orcid":"https://orcid.org/0000-0003-4251-1143"},"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":"Jianfeng Ma","raw_affiliation_strings":["The School of Cyber Engineering, Xidian University, Xi\u2019an 710071, China","The School of Cyber Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"The School of Cyber Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"The School of Cyber Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100459192"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.0764,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89712147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"20","first_page":"5050","last_page":"5050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.8346936702728271},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.6790753602981567},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.6612778306007385},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6425562500953674},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6406290531158447},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5469900369644165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4886792004108429},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4836345911026001},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4734708368778229},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43712317943573},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09947580099105835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346936702728271},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.6790753602981567},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.6612778306007385},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6425562500953674},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6406290531158447},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5469900369644165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4886792004108429},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4836345911026001},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4734708368778229},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43712317943573},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09947580099105835}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15205050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15205050","pdf_url":"https://www.mdpi.com/2072-4292/15/20/5050/pdf?version=1697812247","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bd778f4c51c84daeaad939101c4c7ef0","is_oa":true,"landing_page_url":"https://doaj.org/article/bd778f4c51c84daeaad939101c4c7ef0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 20, p 5050 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15205050","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15205050","pdf_url":"https://www.mdpi.com/2072-4292/15/20/5050/pdf?version=1697812247","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1323945101","display_name":null,"funder_award_id":"62261160651","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2838225136","display_name":null,"funder_award_id":"ZYTS23167","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3848079773","display_name":null,"funder_award_id":"U21A20464","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3990246200","display_name":null,"funder_award_id":"2023-ZDLGY-52","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G5020236163","display_name":null,"funder_award_id":"62072352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5767509517","display_name":null,"funder_award_id":"62220106004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8813458462","display_name":null,"funder_award_id":"2022GY-029","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387806839.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1873763122","https://openalex.org/W1994616650","https://openalex.org/W2123820077","https://openalex.org/W2163605009","https://openalex.org/W2473418344","https://openalex.org/W2535690855","https://openalex.org/W2541884796","https://openalex.org/W2592962403","https://openalex.org/W2795435272","https://openalex.org/W2884943453","https://openalex.org/W2919352650","https://openalex.org/W2921468651","https://openalex.org/W2930926105","https://openalex.org/W2945237470","https://openalex.org/W2947693768","https://openalex.org/W2963378725","https://openalex.org/W2963629772","https://openalex.org/W2963881987","https://openalex.org/W2964194231","https://openalex.org/W2969375592","https://openalex.org/W2983140679","https://openalex.org/W2992240579","https://openalex.org/W3008439211","https://openalex.org/W3013068160","https://openalex.org/W3022140654","https://openalex.org/W3027749727","https://openalex.org/W3035821888","https://openalex.org/W3046102592","https://openalex.org/W3081096564","https://openalex.org/W3103245149","https://openalex.org/W3111813289","https://openalex.org/W3115042282","https://openalex.org/W3118608800","https://openalex.org/W3119125170","https://openalex.org/W3135895055","https://openalex.org/W3155551741","https://openalex.org/W3158803559","https://openalex.org/W3169818958","https://openalex.org/W3192324887","https://openalex.org/W3210534634","https://openalex.org/W3212010319","https://openalex.org/W3214227590","https://openalex.org/W4205228770","https://openalex.org/W4210511587","https://openalex.org/W4210630464","https://openalex.org/W4214819324","https://openalex.org/W4225146418","https://openalex.org/W4225630686","https://openalex.org/W4226315217","https://openalex.org/W4229021539","https://openalex.org/W4288057780","https://openalex.org/W4309717800","https://openalex.org/W4313030848","https://openalex.org/W4319440659","https://openalex.org/W4377007936","https://openalex.org/W4385068829","https://openalex.org/W4387267624","https://openalex.org/W4387802196","https://openalex.org/W6847931694"],"related_works":["https://openalex.org/W4366307888","https://openalex.org/W4286971788","https://openalex.org/W3199340467","https://openalex.org/W3206966921","https://openalex.org/W3157608626","https://openalex.org/W3132132958","https://openalex.org/W4322580403","https://openalex.org/W3193217249","https://openalex.org/W4321612632","https://openalex.org/W4280591108"],"abstract_inverted_index":{"With":[0],"the":[1,22,31,36,105,110,116,131,160,164,169,174,191,197,207],"development":[2],"of":[3,24,35,95,112,196],"deep":[4,10,25],"learning,":[5],"image":[6,214,228],"recognition":[7],"based":[8],"on":[9,210],"learning":[11,26,67,78,219],"is":[12,79],"now":[13],"widely":[14],"used":[15],"in":[16,45,99],"remote":[17,39,70,103,132,212,226],"sensing.":[18,71],"As":[19],"we":[20,139],"know,":[21],"effectiveness":[23,209],"models":[27,172,230],"significantly":[28],"benefits":[29],"from":[30,167,173],"size":[32],"and":[33,55,58,123,148,182,216,235],"quality":[34],"dataset.":[37],"However,":[38,72],"sensing":[40,133,213,227],"data":[41,96],"are":[42,231],"often":[43],"distributed":[44],"different":[46,187],"parts.":[47],"They":[48],"cannot":[49],"be":[50],"shared":[51],"directly":[52],"for":[53,193],"privacy":[54,144,155,181],"security":[56],"reasons,":[57],"this":[59,137],"has":[60,74],"motivated":[61],"some":[62],"scholars":[63],"to":[64,69,82,90,109,190,205,233],"apply":[65],"federated":[66,77],"(FL)":[68],"research":[73],"found":[75],"that":[76,225],"usually":[80],"vulnerable":[81],"white-box":[83,242],"membership":[84],"inference":[85],"attacks":[86],"(MIAs),":[87],"which":[88],"aim":[89],"infer":[91],"whether":[92],"a":[93,178],"piece":[94],"was":[97],"participating":[98],"model":[100,117,183],"training.":[101],"In":[102],"sensing,":[104],"MIA":[106,243],"can":[107,238],"lead":[108],"disclosure":[111],"sensitive":[113],"information":[114,129],"about":[115,130],"trainers,":[118],"such":[119],"as":[120,125,127],"their":[121],"location":[122],"type,":[124],"well":[126],"time":[128],"equipment.":[134],"To":[135,176],"solve":[136],"issue,":[138],"consider":[140],"embedding":[141],"local":[142,153,171,198],"differential":[143,154],"(LDP)":[145],"into":[146],"FL":[147],"propose":[149],"LDP-Fed.":[150],"LDP-Fed":[151,185],"performs":[152],"perturbation":[156],"after":[157],"properly":[158],"pruning":[159],"uploaded":[161],"parameters,":[162],"preventing":[163],"central":[165],"server":[166],"obtaining":[168],"original":[170],"participants.":[175],"achieve":[177],"trade-off":[179],"between":[180],"performance,":[184],"adds":[186],"noise":[188],"levels":[189],"parameters":[192],"various":[194],"layers":[195],"models.":[199],"This":[200],"paper":[201],"conducted":[202],"comprehensive":[203],"experiments":[204],"evaluate":[206],"framework\u2019s":[208],"two":[211,217],"datasets":[215],"machine":[218],"benchmark":[220],"datasets.":[221],"The":[222],"results":[223],"demonstrate":[224],"classification":[229],"susceptible":[232],"MIAs,":[234],"our":[236],"framework":[237],"successfully":[239],"defend":[240],"against":[241],"while":[244],"achieving":[245],"an":[246],"excellent":[247],"global":[248],"model.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
