{“id”:“https://openalex.org/W4298055055“,”doi“:”https://doi.org/10.48550/arxiv.2209.14093“,”title“:”Securing Federated Learning against Overwholem Collusive Attackers“,”display_name“:”Securing Feedated Learn against overwholem colusive Attackers“,”publication_year“:2022,”publitation_date“:”2022-01-01“,”ids“:{”openalex“:”https://openalex.org/W4298055055“,”doi“:”https://doi.org/10.48550/arxiv.2209.14093“},”language“:”en“,”primary_location“:{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2209.14093“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“cc-by”,“licence_id”:“https://openalex.org/licenses/cc-by“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},”type“:”预印本“,”type_crossref“:”发布的内容“,”indexed_in“:[”arxiv“,”datacite“],”open_access“:{”is_oa“:true,”oa_status“:”green“,”oa_url“:”https://arxiv.org/abs/2209.14093“,”any_repository_has_fulltext“:true},”authorships“:[{”author_position“:”第一“,”作者“:{”id“:”https://openalex.org/A5045365784“,”display_name“:”Priyesh Ranjan“,”orcid“:”https://orcid.org/0000-0003-2555-722X“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Ranjan,Priyesh“,”raw_affiliation_strings“:[],“从属关系”:[]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5018637434“,”display_name“:”Ashish Gupta“,”orcid“:”https://orcid.org/0000-0001-7413-267X“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Gupta,Ashish“,”raw _ affiliation_strings“:[],“从属关系”:[]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A5060913079“,”display_name“:”Federico Cor\u00f2“,”orcid“:”https://orcid.org/0000-0002-7321-3467“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Cor\u00f2,Federico“,”raw _ afiliation_strings“:[],“从属关系”:[]},{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A5050881965“,”display_name“:”Sajal K.Das“,”orcid“:”https://orcid.org/0000-0002-0596-4816“},”机构“:[],”国家“:[[],”is_corresponding“:false,”raw_author_name“:”Das,Sajal K.“,”raw _ afiliation_strings“:[],“隶属关系”:[]}],“countries _ distinct_count”:0,“institutions _ disting_count“:0,”corresponding_author_ids“:[】,“correspounding_institution_ids”:[].“apc_list”:null,“apc_payed”:null,“has_fulltext”:false,“cited_by_count”:0,“cited_by_percentile_year“:{“min”:0,“max”:67},“biblio”:{卷:null,“问题”:nullhttps://openalex.org/T10764“,”“display_name”:“数据分析和机器学习的隐私保护技术”,“score”:0.9998,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10764“,”“display_name”:“数据分析和机器学习的隐私保护技术”,“score”:0.9998,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11598“,”“display_name”:“互联网流量分类的机器学习”,“score”:0.9836,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10927“,”“display_name”:“在线环境中的信任和声誉系统”,“score”:0.9194,“subfield”:{“id”:“https://openalex.org/subfields/3312“,”display_name“:”社会学与政治学“},”field“:{”id“:”https://openalex.org/fields/33“,”display_name“:”社会科学“},”域“:{”id“:”https://openalex.org/domains/2“,”display_name“:”社会科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/联邦学习“,”display_name“:”联合学习“,”score“:0.655564},{”id“:”https://openalex.org/keywords/iot-devices网站“,”display_name“:”物联网设备“,”score“:0.53158},{”id“:”https://openalex.org/keywords/membership-inference-attacks网站“,”display_name“:”成员身份推断攻击“,”score“:0.506335}],”concepts“:[{”id“:”https://openalex.org/C190502265,“wikidata”:https://www.wikidata.org/wiki/Q17069496“,”display_name“:”MNIST数据库“,”level“:3,”score“:0.82658565},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.78811884},{”id“:”https://openalex.org/C2781198186,“wikidata”:https://www.wikidata.org/wiki/Q701521“,”display_name“:”Collusion“,”level“:2,”score“:0.75876},{”id“:”https://openalex.org/C185798385,“wikidata”:https://www.wikidata.org/wiki/Q1161707“,”display_name“:”基准(测量)“,”level“:2,”score“:0.5061335},{”id“:”https://openalex.org/C2992525071,“wikidata”:https://www.wikidata.org/wiki/Q50818671“,”display_name“:”联合学习“,”level“:2,”score“:0.4897871},{”id“:”https://openalex.org/C132525143,“wikidata”:https://www.wikidata.org/wiki/Q141488“,”display_name“:”Graph“,”level“:2,”score“:0.47195116},{”id“:”https://openalex.org/C141513077,“wikidata”:https://www.wikidata.org/wiki/Q378542“,”display_name“:”独立同分布随机变量“,”level“:3,”score“:0.45959553},{”id“:”https://openalex.org/C81860439,“wikidata”:https://www.wikidata.org/wiki/Q251212“,”display_name“:”物联网“,”level“:2,”score“:0.43636167},{”id“:”https://openalex.org/C38652104,“wikidata”:https://www.wikidata.org/wiki/Q3510521“,”display_name“:”计算机安全“,”level“:1,”score“:0.4312948},{”id“:”https://openalex.org/C120314980,“wikidata”:https://www.wikidata.org/wiki/Q180634“,”display_name“:”分布式计算“,”level“:1,”score“:0.40601256},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.3632257},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.337061},{”id“:”https://openalex.org/C80444323,“wikidata”:https://www.wikidata.org/wiki/Q2878974“,”display_name“:”理论计算机科学“,”level“:1,”score“:0.33324423},{”id“:”https://openalex.org/C108583219,“wikidata”:https://www.wikidata.org/wiki/Q197536“,”display_name“:”深度学习“,”level“:2,”score“:0.2431328},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.085065216},{”id“:”https://openalex.org/C13280743,“wikidata”:https://www.wikidata.org/wiki/Q131089“,”display_name“:”大地测量学“,”level“:1,”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/C122123141,“wikidata”:https://www.wikidata.org/wiki/Q176623“,”display_name“:”随机变量“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C162324750,“wikidata”:https://www.wikidata.org/wiki/Q8134“,”display_name“:”经济学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C175444787,“wikidata”:https://www.wikidata.org/wiki/Q39072“,”display_name“:”微观经济学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C205649164,“wikidata”:https://www.wikidata.org/wiki/Q1071“,”display_name“:”Geography“,”level“:0,”score“:0.0}],”mesh“:[],”locations_count“:3,”location“:[{”is_oa“:true,”landing_page_url“:”https://arxiv.org/abs/2209.14093“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“cc-by”,“licence_id”:“https://openalex.org/licenses/cc-by“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},{”is_oa“:true,”landing_page_url“:”http://arxiv.org/abs/2209.14093,“pdf_url”:http://arxiv.org/pdf/2209.14093,“源”:{“id”:https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”Cornell University“],“type”:“repository”},“license”:null,“licence_id”:null,“version”:“submittedVersion”,“is_accepted”:false,“is_published”:false},{“is_oa”:false,“landing_page_url”:“https://api.datacite.org/dois/10.48550/arxiv.2209.14093“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4393179698“,”display_name“:”DataCite API“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I4210145204“,”“host_organization_name”:“DataCite”,“host_organization_lineage”:[“https://openalex.org/I4210145204“],”host_organization_lineage_names“:[”DataCite“],“type”:“metadata”},“license”:null,“licence_id”:null,“version”:null}],“best_oa_location”:{“is_oa”:true,“landing_page_url”:“https://arxiv.org/abs/2209.14093“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S4306400194“,”display_name“:”arXiv(康奈尔大学)“,”issn_l“:null,”issn“:null,”is_oa“:true,”is_ in_doaj“:false,”host_organization“:”https://openalex.org/I205783295“,”“host_organization_name”:“康奈尔大学”,“host_organization_lineage”:[“https://openalex.org/I205783295“],”host_organization_lineage_names“:[”康奈尔大学“],“type”:“repository”},“license”:“cc-by”,“licence_id”:“https://openalex.org/licenses/cc-by“,”version“:”submittedVersion“,”is_accepted“:false,”is_published“:false},”sustainable_development_goals“:[{”score“:0.77,”display_name“:”和平、正义和强大的机构“,”id“:”https://metadata.un.org/sdg/16“}],”grants“:[],”datasets“:[],”versions“:[】,”referenced_works_count“:0,”referrenced_works“:],”related_work斯“:[”https://openalex.org/W4386603768","https://openalex.org/W4385893187","https://openalex.org/W4380078352","https://openalex.org/W3196405711","https://openalex.org/W3187232590","https://openalex.org/W3171906705","https://openalex.org/W3046591097","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2590796488“],”ngrams_url“:”https://api.openalex.org/works/W4298055055/ngrams网站“,”“abstract_inverted_index”:{“In”:[0106],“the”:[1,8,42,57,87,97120158171208214],“era”:[2],“of”:[3,10,12,19,31,60,84,89126160169182188210],“a”:[4,29,68,73,81124],“data-driven”:[5],“society”:[6],“with”:[7131203],“ubiquity”:[9],“Internet”:[11],“Things”:[13],“(IoT)”:[14],“设备”:[15,91],“存储”:[16],“大”:[17],“金额”:[18],“data“:[20,39,78],”localized“:[21],”at“:[22],”different“:[23],”places“,“:[24],”distributed“:[25,38,79],”learning“:[26,63],”has“:[27,65],”gained“:[208],”lot“:[30],”traction,“:[32],”然而“:[33],”suggesting“:[34],”independent“:[35],”and“:[36115144201222],”identically“:[37],”iid)“:[40],”跨“:[41,80],”设备。“:[43,85],”While“:[44],”放松“:[45],”this“:[46107],”假设“:[47],”that“:[48],”无论如何“:[49],”do“:[50],”not“:[51177],”hold“:[52],”in“:[53],”reality“:[54],”due“:[55102],”to“:[56,71,95103111167],”异类“:[58],”nature“:[59],”devices“:[61],”federated“:[62],“(FL)”:[64],“出现”:[66],“作为”:[67184],“保护隐私”:[69],“解决方案“:[70],“训练”:[72],“协作”:[74],“模型”:[75155],“超过”:[76213],“非iid”:[77],“大规模”:[82],“数字”:[83],“然而”:[86],“外观”:[88],“恶意”:[90],“(攻击者)”,“:[92],“谁”:[93],“意图”:[94],“腐败”:[96],“FL”:[98154],“型号”:[99121],“is”:[100191],“不可避免”:[101],“无限制”:[104],“参与”。“:[105],”工作“:[108],”我们“:[109],”目标“:[110],”识别“:[112],”这样“:[113],”攻击者“:[11416],”缓解“:[116],”他们的“:[117],”影响“:[118],”开启“:[119140195],”本质上“:[122],”under“:[123],”设置“:[125],”双向“:[127],”标签“:[128],”翻转“:[129],”攻击“:[130],”勾结。“:[132],“We”:[133206],“summe”:[134],“two”:[135196],“graph”:[136],“theoryal”:[137],“algorithms”,“:[138],“based”:[139],“Minimum”:[141],“Spanning”:[142],“Tree”:[143],“k-Densest”:[145],“graph”:%146],“by”:[147],“leverage”:[148],“correlations”:[149],“between”:[150],“local”:151],“模型。“:[152],“我们的”:[153],“可以”:[156],“无效”:[157],“影响”:[159],“偶数”:[162],“当”:[163],“他们”:[164],“是”:[165],“向上”:[166],“70%”:[168],“全部”:[170],“客户”:[172183],“鉴于”:[173],“优先”:[174],“作品”:[175],“可能”:[176],“负担得起”:[178],”更多“:[179],”而不是“:[180],”50%“:[181],”攻击者。“:[185205],“The”:[186],“effectivity”:[187],“our”:[189211],“algorithms”:[190212],“determinated”:[192],“through”:[193],“tests”:[194],“benchmark”:[197],“dataset”,“:[198],“即:[199],“MNIST”:[200],“Fashion-MNIST”,“202],“压倒性”:[204],“建立”:[207],“优势”:[209],“现有”:[215],“个”:[216],“使用”:[217],“精度”:[218],“攻击”:[219],“成功”:[220],“速率”,:[221],“早期”:[223],“检测”:[224],“回合”:[225]},“引用_by_api_url”:“https://api.openalex.org/works?filter=cites:W4298055055“,”counts_by_year“:[],”updated_date“:”2024-06-19T03:45:43.298690“,”创建日期“:”2020年10月1日“}