{"id":"https://openalex.org/W3083312158","doi":"https://doi.org/10.48550/arxiv.2009.01867","title":"ESMFL: Efficient and Secure Models for Federated Learning","display_name":"ESMFL: Efficient and Secure Models for Federated Learning","publication_year":2020,"publication_date":"2020-09-03","ids":{"openalex":"https://openalex.org/W3083312158","doi":"https://doi.org/10.48550/arxiv.2009.01867","mag":"3083312158"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2009.01867","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.01867","pdf_url":"https://arxiv.org/pdf/2009.01867","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,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2009.01867","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080407824","display_name":"Sheng Lin","orcid":"https://orcid.org/0000-0002-1096-3973","observed_orcids":["https://orcid.org/0000-0002-1096-3973"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin, Sheng","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083601595","display_name":"Chenghong Wang","orcid":"https://orcid.org/0000-0001-7837-5791","observed_orcids":["https://orcid.org/0000-0001-7837-5791"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang, Chenghong","raw_affiliation_strings":["Duke University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University#TAB#","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101911275","display_name":"Hongjia Li","orcid":"https://orcid.org/0000-0003-1683-343X","observed_orcids":["https://orcid.org/0000-0003-1683-343X"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li, Hongjia","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080327156","display_name":"Jieren Deng","orcid":"https://orcid.org/0000-0002-5738-0927","observed_orcids":["https://orcid.org/0000-0002-5738-0927"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deng, Jieren","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990","observed_orcids":["https://orcid.org/0000-0002-3024-7990","https://orcid.org/0009-0009-3924-6466","https://orcid.org/0009-0008-4749-5860"]},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wang, Yanzhi","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030060072","display_name":"Caiwen Ding","orcid":"https://orcid.org/0000-0003-0891-1231","observed_orcids":["https://orcid.org/0000-0003-0891-1231"]},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ding, Caiwen","raw_affiliation_strings":["University of connecticut"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of connecticut","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"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":1.0,"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":1.0,"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/T10237","display_name":"Cryptography and Data Security","score":9.999999747378752e-05,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/federated-learning","display_name":"federated learning","score":0.9909999966621399},{"id":"https://openalex.org/keywords/intel-sgx","display_name":"Intel SGX","score":0.8579999804496765},{"id":"https://openalex.org/keywords/software-security","display_name":"software security","score":0.47699999809265137},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.7099999785423279},{"id":"https://openalex.org/keywords/model-sparsification","display_name":"model sparsification","score":0.902999997138977},{"id":"https://openalex.org/keywords/communication-overhead-reduction","display_name":"communication cost reduction","score":0.8420000076293945},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.7089999914169312}],"concepts":[{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6240234971046448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5374854803085327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22031542658805847}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2009.01867","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.01867","pdf_url":"https://arxiv.org/pdf/2009.01867","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,"listed_in":[],"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":"doi:10.48550/arxiv.2009.01867","doi":"https://doi.org/10.48550/arxiv.2009.01867","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2009.01867","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,"listed_in":[],"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:oai:arXiv.org:2009.01867","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.01867","pdf_url":"https://arxiv.org/pdf/2009.01867","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,"listed_in":[],"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":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2116612304","https://openalex.org/W2125858711","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2283463896","https://openalex.org/W2407022425","https://openalex.org/W2530417694","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2547352193","https://openalex.org/W2617766261","https://openalex.org/W2774000609","https://openalex.org/W2777914285","https://openalex.org/W2784621220","https://openalex.org/W2798170643","https://openalex.org/W2798405286","https://openalex.org/W2899771611","https://openalex.org/W2900120080","https://openalex.org/W2913570153","https://openalex.org/W2963163009","https://openalex.org/W2963189173","https://openalex.org/W2963319203","https://openalex.org/W2964299589","https://openalex.org/W2970408908","https://openalex.org/W2977090839"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4298221930","https://openalex.org/W2390279801","https://openalex.org/W2777914285","https://openalex.org/W2358668433","https://openalex.org/W4287823391","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3013363440"],"abstract_inverted_index":{"Nowadays,":[0],"Deep":[1],"Neural":[2],"Networks":[3],"are":[4],"widely":[5],"applied":[6],"to":[7],"various":[8],"domains.":[9],"However,":[10],"massive":[11],"data":[12],"collection":[13],"required":[14],"for":[15,41],"deep":[16],"neural":[17],"network":[18],"reveals":[19],"the":[20,42,59,67,71,78],"potential":[21],"privacy":[22],"issues":[23],"and":[24,64,83],"also":[25],"consumes":[26],"large":[27],"mounts":[28],"of":[29,55,61],"communication":[30],"bandwidth.":[31],"To":[32],"address":[33],"these":[34],"problems,":[35],"we":[36,76],"propose":[37],"a":[38,53],"privacy-preserving":[39],"method":[40],"federated":[43],"learning":[44],"distributed":[45],"system,":[46],"operated":[47],"on":[48],"Intel":[49],"Software":[50],"Guard":[51],"Extensions,":[52],"set":[54],"instructions":[56],"that":[57],"increase":[58],"security":[60],"application":[62],"code":[63],"data.":[65],"Meanwhile,":[66],"encrypted":[68],"models":[69],"make":[70],"transmission":[72],"overhead":[73],"larger.":[74],"Hence,":[75],"reduce":[77],"commutation":[79],"cost":[80],"by":[81],"sparsification":[82],"it":[84],"can":[85],"achieve":[86],"reasonable":[87],"accuracy":[88],"with":[89],"different":[90],"model":[91],"architectures.":[92]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}