{"id":"https://openalex.org/W3212135426","doi":"https://doi.org/10.1145/3485730.3493444","title":"Federated Learning for Internet of Things","display_name":"Federated Learning for Internet of Things","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W3212135426","doi":"https://doi.org/10.1145/3485730.3493444","mag":"3212135426"},"language":"en","primary_location":{"id":"doi:10.1145/3485730.3493444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485730.3493444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485730.3493444","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3485730.3493444","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100665420","display_name":"Tuo Zhang","orcid":"https://orcid.org/0000-0001-5949-4402"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tuo Zhang","raw_affiliation_strings":["Univerisity of Southern California, Los Angeles, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univerisity of Southern California, Los Angeles, California, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003518978","display_name":"Chaoyang He","orcid":"https://orcid.org/0000-0003-2770-9661"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaoyang He","raw_affiliation_strings":["Univerisity of Southern California, Los Angeles, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univerisity of Southern California, Los Angeles, California, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086653319","display_name":"Tianhao Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianhao Ma","raw_affiliation_strings":["Univerisity of Southern California, Los Angeles, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univerisity of Southern California, Los Angeles, California, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024863872","display_name":"Lei Gao","orcid":"https://orcid.org/0000-0002-8961-1734"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Gao","raw_affiliation_strings":["Univerisity of Southern California, Los Angeles, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univerisity of Southern California, Los Angeles, California, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065363055","display_name":"Mark Ma","orcid":"https://orcid.org/0000-0003-1738-6651"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Ma","raw_affiliation_strings":["Univerisity of Southern California, Los Angeles, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univerisity of Southern California, Los Angeles, California, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112726818","display_name":"Salman Avestimehr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salman Avestimehr","raw_affiliation_strings":["Univerisity of Southern California, Los Angeles, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univerisity of Southern California, Los Angeles, California, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":123,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"413","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998000264167786,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8578106760978699},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7721534967422485},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6368643045425415},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6286060214042664},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5686020255088806},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4360818564891815},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36606907844543457},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.35107338428497314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25594544410705566},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1846204400062561}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8578106760978699},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7721534967422485},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6368643045425415},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6286060214042664},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5686020255088806},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4360818564891815},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36606907844543457},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.35107338428497314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25594544410705566},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1846204400062561},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3485730.3493444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485730.3493444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485730.3493444","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.07976","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.07976","pdf_url":"https://arxiv.org/pdf/2106.07976","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"}],"best_oa_location":{"id":"doi:10.1145/3485730.3493444","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485730.3493444","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485730.3493444","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1106929188","display_name":null,"funder_award_id":"N00014-16-1-2189","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G1338515668","display_name":null,"funder_award_id":"W911NF1810400","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G1946538394","display_name":"CIF: Medium: Collaborative Research: Coded Computing for Large-Scale Machine Learning","funder_award_id":"1763673","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2246769552","display_name":null,"funder_award_id":"N00014-16-1-2189","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3322887015","display_name":"Collaborative Research: MLWiNS: A Coding-Centric Approach to Robust, Secure, and Private Distributed Learning over Wireless","funder_award_id":"2002874","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3790968239","display_name":null,"funder_award_id":"CCF-1703575","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G448047699","display_name":null,"funder_award_id":"CNS-2002874","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4565307535","display_name":null,"funder_award_id":"CCF-1763673","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5384179345","display_name":"NETWORK SCIENCES: CODED COMPUTING: A TRANSFORMATIVE FRAMEWORK FOR TACTICAL WIRELESS EDGE COMPUTING","funder_award_id":"W911NF1810400","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G799256164","display_name":null,"funder_award_id":"W911NF1810400","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8334929275","display_name":"CIF:Medium:Collaborative Research: Foundations of Coding for Modern Distributed Computing","funder_award_id":"1703575","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"},{"id":"https://openalex.org/F4320309775","display_name":"Konica Minolta Imaging Science Foundation","ror":"https://ror.org/05dtvab05"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3212135426.pdf","grobid_xml":"https://content.openalex.org/works/W3212135426.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2027281287","https://openalex.org/W2586432806","https://openalex.org/W2605800822","https://openalex.org/W2766736793","https://openalex.org/W2774000609","https://openalex.org/W2799758613","https://openalex.org/W2889676205","https://openalex.org/W2963803379","https://openalex.org/W2970971581","https://openalex.org/W2982426954","https://openalex.org/W3007780034","https://openalex.org/W3014946465","https://openalex.org/W3044515030","https://openalex.org/W3105324058","https://openalex.org/W3122864121","https://openalex.org/W3130916947","https://openalex.org/W3168459274","https://openalex.org/W3176734149","https://openalex.org/W4206724648","https://openalex.org/W4294106961","https://openalex.org/W4295312788","https://openalex.org/W4299283926","https://openalex.org/W4318619660"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4245926026","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W2802581102"],"abstract_inverted_index":{"Federated":[0],"learning":[1,79,87,103,135],"can":[2],"be":[3],"a":[4,48,71,94,101,107,138],"promising":[5,164],"solution":[6],"for":[7,65,74,165],"enabling":[8],"IoT":[9,16,81,111,167],"cybersecurity":[10],"(i.e.,":[11],"anomaly":[12,67],"detection":[13,69],"in":[14,51,122,136],"the":[15,24,84,90,131],"environment)":[17],"while":[18],"preserving":[19],"data":[20,30,68],"privacy":[21],"and":[22,54,70,100,119,125,158,163],"mitigating":[23],"high":[25],"communication/storage":[26],"overhead":[27],"(e.g.,":[28,98],"high-frequency":[29],"from":[31],"time-series":[32],"sensors)":[33],"of":[34,77,109,133,141],"centralized":[35],"over-the-cloud":[36],"approaches.":[37],"In":[38,106],"this":[39,45],"paper,":[40],"to":[41],"further":[42],"push":[43],"forward":[44],"direction":[46],"with":[47],"comprehensive":[49],"study":[50],"both":[52,123,154],"algorithm":[53,64,121],"system":[55,72,126,149],"design,":[56],"we":[57,115],"build":[58],"FedIoT":[59,117],"platform":[60,118],"that":[61,153],"contains":[62],"FedDetect":[63,86,120],"on-device":[66],"design":[73],"realistic":[75,110],"evaluation":[76],"federated":[78,134],"on":[80],"devices.":[82,147,168],"Furthermore,":[83],"proposed":[85],"framework":[88],"improves":[89],"performance":[91],"by":[92],"utilizing":[93],"local":[95],"adaptive":[96],"optimizer":[97],"Adam)":[99],"cross-round":[102],"rate":[104],"scheduler.":[105],"network":[108],"devices":[112],"(Raspberry":[113],"PI),":[114],"evaluate":[116],"model":[124],"performance.":[127],"Our":[128],"results":[129],"demonstrate":[130],"efficacy":[132],"detecting":[137],"wider":[139],"range":[140],"attack":[142],"types":[143],"occurred":[144],"at":[145,175],"multiple":[146],"The":[148,169],"efficiency":[150],"analysis":[151],"indicates":[152],"end-to-end":[155],"training":[156],"time":[157],"memory":[159],"cost":[160],"are":[161],"affordable":[162],"resource-constrained":[166],"source":[170],"code":[171],"is":[172],"publicly":[173],"available":[174],"https://github.com/FedML-AI/FedIoT.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":44},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2021-11-22T00:00:00"}