{"id":"https://openalex.org/W4292072218","doi":"https://doi.org/10.23919/ecc55457.2022.9837987","title":"Federated Reinforcement Learning at the Edge: Exploring the Learning-Communication Tradeoff","display_name":"Federated Reinforcement Learning at the Edge: Exploring the Learning-Communication Tradeoff","publication_year":2022,"publication_date":"2022-07-12","ids":{"openalex":"https://openalex.org/W4292072218","doi":"https://doi.org/10.23919/ecc55457.2022.9837987"},"language":"en","primary_location":{"id":"doi:10.23919/ecc55457.2022.9837987","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc55457.2022.9837987","pdf_url":null,"source":{"id":"https://openalex.org/S4363607908","display_name":"2022 European Control Conference (ECC)","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 European Control Conference (ECC)","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/A5025590360","display_name":"Konstantinos Gatsis","orcid":"https://orcid.org/0000-0002-0734-5445"},"institutions":[{"id":"https://openalex.org/I4210146410","display_name":"Science Oxford","ror":"https://ror.org/04j8yhy50","country_code":"GB","type":"nonprofit","lineage":["https://openalex.org/I4210146410"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Konstantinos Gatsis","raw_affiliation_strings":["University of Oxford,Department of Engineering Science,Oxford,UK.,OX1 3PJ"],"affiliations":[{"raw_affiliation_string":"University of Oxford,Department of Engineering Science,Oxford,UK.,OX1 3PJ","institution_ids":["https://openalex.org/I40120149","https://openalex.org/I4210146410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025590360"],"corresponding_institution_ids":["https://openalex.org/I40120149","https://openalex.org/I4210146410"],"apc_list":null,"apc_paid":null,"fwci":0.4403,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56726987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1890","last_page":"1895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9879999756813049,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8699835538864136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8300351500511169},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.7098544239997864},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6333077549934387},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5167497992515564},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5097338557243347},{"id":"https://openalex.org/keywords/telecommunications-network","display_name":"Telecommunications network","score":0.4716103672981262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4074377119541168},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3350352644920349},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2026543915271759}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8699835538864136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8300351500511169},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.7098544239997864},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6333077549934387},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5167497992515564},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5097338557243347},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.4716103672981262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4074377119541168},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3350352644920349},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2026543915271759},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.23919/ecc55457.2022.9837987","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc55457.2022.9837987","pdf_url":null,"source":{"id":"https://openalex.org/S4363607908","display_name":"2022 European Control Conference (ECC)","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 European Control Conference (ECC)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:494234","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/494234/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:2982618e-2b7c-4cd9-a9cc-932208116168","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:2982618e-2b7c-4cd9-a9cc-932208116168","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W166862392","https://openalex.org/W1972003057","https://openalex.org/W2145339207","https://openalex.org/W2748196763","https://openalex.org/W2788115019","https://openalex.org/W2790817599","https://openalex.org/W2917189468","https://openalex.org/W2962736495","https://openalex.org/W2963773265","https://openalex.org/W2964023042","https://openalex.org/W2975043678","https://openalex.org/W2975156709","https://openalex.org/W2993990522","https://openalex.org/W3010758700","https://openalex.org/W3027121709","https://openalex.org/W3028801376","https://openalex.org/W3047504295","https://openalex.org/W3089959184","https://openalex.org/W3101745576","https://openalex.org/W3119652720","https://openalex.org/W3132503596","https://openalex.org/W3134730258","https://openalex.org/W3158647134","https://openalex.org/W3159095050","https://openalex.org/W3163894240","https://openalex.org/W3186200682","https://openalex.org/W3198808909","https://openalex.org/W3199481125","https://openalex.org/W4205987271","https://openalex.org/W4287325222","https://openalex.org/W4297687186","https://openalex.org/W4353103692","https://openalex.org/W6749032143","https://openalex.org/W6751961731","https://openalex.org/W6756363166","https://openalex.org/W6760725535","https://openalex.org/W6767131848","https://openalex.org/W6768511045","https://openalex.org/W6771232374","https://openalex.org/W6791071516","https://openalex.org/W6791259856","https://openalex.org/W6795007437"],"related_works":["https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2144453115","https://openalex.org/W2128223750","https://openalex.org/W4238532390","https://openalex.org/W2188872161","https://openalex.org/W2002978035","https://openalex.org/W2961779879","https://openalex.org/W797688974","https://openalex.org/W2209382646"],"abstract_inverted_index":{"Modern":[0],"cyber-physical":[1],"architectures":[2],"use":[3],"data":[4,64,113],"col-lected":[5],"from":[6],"systems":[7,34],"at":[8,29],"different":[9],"physical":[10],"locations":[11],"to":[12,18,38,50,55],"learn":[13],"appropriate":[14],"behaviors":[15],"and":[16,97],"adapt":[17],"uncertain":[19],"environments.":[20],"However,":[21],"an":[22,75],"important":[23],"challenge":[24],"arises":[25],"as":[26,73],"communication":[27,81,87],"exchanges":[28],"the":[30,105],"edge":[31],"of":[32,107],"networked":[33],"are":[35],"costly":[36],"due":[37],"limited":[39],"resources.":[40],"This":[41,70],"paper":[42],"considers":[43],"a":[44,58,67,80],"setup":[45],"where":[46],"multiple":[47],"agents":[48],"need":[49],"communicate":[51],"efficiently":[52],"in":[53,66],"order":[54],"jointly":[56],"solve":[57],"reinforcement":[59],"learning":[60,74],"problem":[61],"over":[62,79],"time-series":[63],"collected":[65],"distributed":[68],"manner.":[69],"is":[71,89,102,114],"posed":[72],"approximate":[76],"value":[77],"function":[78],"network.":[82],"An":[83],"algorithm":[84],"for":[85],"achieving":[86],"efficiency":[88],"proposed,":[90],"supported":[91],"with":[92],"theoretical":[93],"guarantees,":[94],"practical":[95],"implementations,":[96],"numerical":[98],"evaluations.":[99],"The":[100],"approach":[101],"based":[103],"on":[104],"idea":[106],"communicating":[108],"only":[109],"when":[110],"sufficiently":[111],"informative":[112],"collected.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
