{"id":"https://openalex.org/W4312609150","doi":"https://doi.org/10.1109/tsp.2022.3222734","title":"Distributed Reptile Algorithm for Meta-Learning Over Multi-Agent Systems","display_name":"Distributed Reptile Algorithm for Meta-Learning Over Multi-Agent Systems","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312609150","doi":"https://doi.org/10.1109/tsp.2022.3222734"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3222734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3222734","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5026688578","display_name":"Xianyang Zhang","orcid":"https://orcid.org/0000-0002-2372-5317"},"institutions":[{"id":"https://openalex.org/I2801618472","display_name":"PLA Rocket Force University of Engineering","ror":"https://ror.org/00gg5zj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801618472"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianyang Zhang","raw_affiliation_strings":["Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, China","Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, China","institution_ids":["https://openalex.org/I2801618472"]},{"raw_affiliation_string":"Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I2801618472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018178311","display_name":"Chen Hu","orcid":"https://orcid.org/0000-0001-6587-4225"},"institutions":[{"id":"https://openalex.org/I2801618472","display_name":"PLA Rocket Force University of Engineering","ror":"https://ror.org/00gg5zj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801618472"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Hu","raw_affiliation_strings":["Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, China","Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, China","institution_ids":["https://openalex.org/I2801618472"]},{"raw_affiliation_string":"Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I2801618472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101567816","display_name":"Bing He","orcid":"https://orcid.org/0000-0002-2451-1142"},"institutions":[{"id":"https://openalex.org/I2801618472","display_name":"PLA Rocket Force University of Engineering","ror":"https://ror.org/00gg5zj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801618472"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing He","raw_affiliation_strings":["Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, China","Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, China","institution_ids":["https://openalex.org/I2801618472"]},{"raw_affiliation_string":"Department of Electronic Engineering, PLA Rocket Force University of Engineering, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I2801618472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101868025","display_name":"Zhiguo Han","orcid":"https://orcid.org/0000-0002-1774-4482"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Han","raw_affiliation_strings":["School of Astronautics, Northwestern Polytechnical University, Xi'an, China","School of Astronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Astronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026688578"],"corresponding_institution_ids":["https://openalex.org/I2801618472"],"apc_list":null,"apc_paid":null,"fwci":2.6514,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91364596,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"5443","last_page":"5456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9986000061035156,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9986000061035156,"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/T12676","display_name":"Machine Learning and ELM","score":0.9976000189781189,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7468316555023193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7261302471160889},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.5378837585449219},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5300462245941162},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.5134811997413635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49602755904197693},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.47925257682800293},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.4398728311061859},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4396350383758545},{"id":"https://openalex.org/keywords/stochastic-approximation","display_name":"Stochastic approximation","score":0.4195288121700287},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3649711608886719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.325562447309494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2185843586921692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18217191100120544},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14007583260536194},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.11384522914886475}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7468316555023193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261302471160889},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.5378837585449219},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5300462245941162},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.5134811997413635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49602755904197693},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.47925257682800293},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.4398728311061859},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4396350383758545},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.4195288121700287},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3649711608886719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.325562447309494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2185843586921692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18217191100120544},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14007583260536194},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.11384522914886475},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"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":1,"locations":[{"id":"doi:10.1109/tsp.2022.3222734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3222734","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1488195538","https://openalex.org/W1498395183","https://openalex.org/W1522301498","https://openalex.org/W1973342538","https://openalex.org/W2044212084","https://openalex.org/W2066332749","https://openalex.org/W2107396783","https://openalex.org/W2107568926","https://openalex.org/W2108598243","https://openalex.org/W2110482969","https://openalex.org/W2114791779","https://openalex.org/W2117905067","https://openalex.org/W2120286056","https://openalex.org/W2121820607","https://openalex.org/W2140804329","https://openalex.org/W2401823607","https://openalex.org/W2472819217","https://openalex.org/W2478429860","https://openalex.org/W2593649546","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2625674597","https://openalex.org/W2742093937","https://openalex.org/W2753160622","https://openalex.org/W2787501667","https://openalex.org/W2803208334","https://openalex.org/W2901628941","https://openalex.org/W2962727772","https://openalex.org/W2963070905","https://openalex.org/W2963341924","https://openalex.org/W2964105864","https://openalex.org/W2964206659","https://openalex.org/W2970005388","https://openalex.org/W2972954809","https://openalex.org/W2976335444","https://openalex.org/W2994684563","https://openalex.org/W3007345209","https://openalex.org/W3042103612","https://openalex.org/W3120430922","https://openalex.org/W3203789000","https://openalex.org/W4205884497","https://openalex.org/W4205987271","https://openalex.org/W4229706427","https://openalex.org/W4250589301","https://openalex.org/W4294646197","https://openalex.org/W6629268682","https://openalex.org/W6631190155","https://openalex.org/W6638908295","https://openalex.org/W6713057566","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6734652334","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6743661861","https://openalex.org/W6747943641","https://openalex.org/W6750254146","https://openalex.org/W6752232076","https://openalex.org/W6755365793","https://openalex.org/W6757011639","https://openalex.org/W6767067800","https://openalex.org/W6767599400","https://openalex.org/W6768570320","https://openalex.org/W6771652451","https://openalex.org/W6774120287","https://openalex.org/W6780249484"],"related_works":["https://openalex.org/W3177326532","https://openalex.org/W3143650729","https://openalex.org/W2042173174","https://openalex.org/W359561291","https://openalex.org/W1994333428","https://openalex.org/W2565654137","https://openalex.org/W2182468032","https://openalex.org/W4286899070","https://openalex.org/W4323366756","https://openalex.org/W3207830353"],"abstract_inverted_index":{"Learning":[0],"a":[1,40,56,65,70,82,138],"good":[2],"initialization":[3],"model":[4,54],"from":[5,79],"distributed":[6,22,35,41],"data":[7,20],"sources":[8],"over":[9],"multi-agent":[10],"systems":[11],"is":[12],"highly":[13],"promising,":[14],"in":[15],"which":[16],"the":[17,34,46,52,61,74,90,96,106,110,114,120,123,143],"tasks":[18],"or":[19],"are":[21],"stored":[23],"and":[24,38,73,81,99,128,141],"not":[25],"accessible":[26],"to":[27],"all":[28],"agents.":[29],"This":[30],"paper":[31],"focuses":[32],"on":[33,69,126],"meta-learning":[36,43],"problem":[37],"proposes":[39],"Reptile":[42],"algorithm.":[44,145],"In":[45],"proposed":[47,111,124],"algorithm,":[48],"each":[49],"agent":[50],"approximates":[51,137],"global":[53],"through":[55],"bi-level":[57],"optimization":[58],"scheme,":[59],"where":[60],"inner":[62],"step":[63,76],"employs":[64],"stochastic":[66],"gradient":[67],"descent":[68],"specific":[71],"task,":[72],"outer":[75],"utilizes":[77],"information":[78],"neighbors":[80],"gradient-like":[83],"updating.":[84],"The":[85,131],"suggested":[86],"algorithm":[87,112,125,136],"avoids":[88],"calculating":[89],"Hessian-vector":[91],"products":[92],"during":[93],"training,":[94],"reducing":[95],"computational":[97],"complexity":[98],"affording":[100],"memory":[101],"miniaturization.":[102],"We":[103],"further":[104],"analyze":[105],"convergence":[107],"properties":[108],"of":[109,122],"under":[113],"convexity":[115],"assumption.":[116],"Finally,":[117],"we":[118],"demonstrate":[119],"effectiveness":[121],"regression":[127],"classification":[129],"tasks.":[130],"results":[132],"show":[133],"that":[134],"our":[135],"centralized":[139],"solution":[140],"outperforms":[142],"non-cooperative":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}