{"id":"https://openalex.org/W4225596658","doi":"https://doi.org/10.23919/date54114.2022.9774562","title":"FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems","display_name":"FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems","publication_year":2022,"publication_date":"2022-03-14","ids":{"openalex":"https://openalex.org/W4225596658","doi":"https://doi.org/10.23919/date54114.2022.9774562"},"language":"en","primary_location":{"id":"doi:10.23919/date54114.2022.9774562","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date54114.2022.9774562","pdf_url":null,"source":{"id":"https://openalex.org/S4363607924","display_name":"2022 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076856438","display_name":"Zishen Wan","orcid":"https://orcid.org/0000-0002-2982-5351"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zishen Wan","raw_affiliation_strings":["Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028574993","display_name":"Aqeel Anwar","orcid":"https://orcid.org/0000-0001-6768-058X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aqeel Anwar","raw_affiliation_strings":["Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069728263","display_name":"Abdulrahman Mahmoud","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdulrahman Mahmoud","raw_affiliation_strings":["Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088551028","display_name":"Tianyu Jia","orcid":"https://orcid.org/0000-0002-4570-4613"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyu Jia","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028054402","display_name":"Yu-Shun Hsiao","orcid":"https://orcid.org/0000-0002-2580-9872"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Shun Hsiao","raw_affiliation_strings":["Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000635267","display_name":"Vijay Janapa Reddi","orcid":"https://orcid.org/0000-0002-5259-7721"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Janapa Reddi","raw_affiliation_strings":["Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091408102","display_name":"Arijit Raychowdhury","orcid":"https://orcid.org/0000-0001-8391-0576"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arijit Raychowdhury","raw_affiliation_strings":["Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5076856438"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10493827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"430","last_page":"435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13497","display_name":"Hermeneutics and Narrative Identity","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13497","display_name":"Hermeneutics and Narrative Identity","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13695","display_name":"Aging, Elder Care, and Social Issues","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13099","display_name":"Health, Medicine and Society","score":0.95660001039505,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7277209758758545},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6960214376449585},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6261404752731323},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.6028438806533813},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5783149003982544},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.4910886287689209},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.44322383403778076},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4335090219974518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36564138531684875},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3204164505004883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7277209758758545},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6960214376449585},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6261404752731323},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.6028438806533813},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5783149003982544},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4910886287689209},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.44322383403778076},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4335090219974518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36564138531684875},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3204164505004883},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date54114.2022.9774562","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date54114.2022.9774562","pdf_url":null,"source":{"id":"https://openalex.org/S4363607924","display_name":"2022 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2767260595","https://openalex.org/W2797678940","https://openalex.org/W2809188712","https://openalex.org/W2946682676","https://openalex.org/W2969874973","https://openalex.org/W2989569745","https://openalex.org/W3004924597","https://openalex.org/W3010012151","https://openalex.org/W3016996015","https://openalex.org/W3213097409","https://openalex.org/W6669082598","https://openalex.org/W6774857738","https://openalex.org/W6783933277","https://openalex.org/W6791402389","https://openalex.org/W6795565216"],"related_works":["https://openalex.org/W1321012","https://openalex.org/W1086594","https://openalex.org/W7626764","https://openalex.org/W9563925","https://openalex.org/W2095273","https://openalex.org/W7365275","https://openalex.org/W14769209","https://openalex.org/W636590","https://openalex.org/W4906398","https://openalex.org/W4043131"],"abstract_inverted_index":{"Swarm":[0],"intelligence":[1,22],"is":[2],"being":[3],"increasingly":[4],"deployed":[5],"in":[6,53,139,146],"autonomous":[7],"systems,":[8],"such":[9],"as":[10],"drones":[11],"and":[12,31,45,62,111,117,127],"unmanned":[13],"vehicles.":[14],"Federated":[15],"reinforcement":[16],"learning":[17,105],"(FRL),":[18],"a":[19,34],"key":[20],"swarm":[21],"paradigm":[23],"where":[24],"agents":[25],"interact":[26],"with":[27,57,98,141],"their":[28],"own":[29],"environments":[30],"cooperatively":[32],"learn":[33],"consensus":[35],"policy":[36],"while":[37],"preserving":[38],"privacy,":[39],"has":[40],"recently":[41],"shown":[42],"potential":[43],"advantages":[44],"gained":[46],"popularity.":[47],"However,":[48],"transient":[49],"faults":[50],"are":[51,74],"increasing":[52],"the":[54,88],"hardware":[55],"system":[56],"continuous":[58],"technology":[59],"node":[60],"scaling":[61],"can":[63,131],"pose":[64],"threats":[65],"to":[66,76,100,134],"FRL":[67,92,147],"systems.":[68,148],"Meanwhile,":[69],"conventional":[70],"redundancy-based":[71],"protection":[72],"methods":[73],"challenging":[75],"deploy":[77],"on":[78],"resource-constrained":[79],"edge":[80],"applications.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85],"experimentally":[86],"evaluate":[87],"fault":[89,101,103,125],"tolerance":[90],"of":[91],"navigation":[93],"systems":[94],"at":[95,114],"various":[96],"scales":[97],"respect":[99],"models,":[102],"locations,":[104],"algorithms,":[106],"layer":[107],"types,":[108],"communication":[109],"intervals,":[110],"data":[112],"types":[113],"both":[115],"training":[116],"inference":[118],"stages.":[119],"We":[120],"further":[121],"propose":[122],"two":[123],"cost-effective":[124],"detection":[126],"recovery":[128],"techniques":[129],"that":[130],"achieve":[132],"up":[133],"<tex":[135,142],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[136,143],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$3.3\\times$</tex>":[137],"improvement":[138],"resilience":[140],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$&lt;2.7\\%$</tex>":[144],"overhead":[145]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2022-05-05T00:00:00"}