{"id":"https://openalex.org/W2591850822","doi":"https://doi.org/10.1109/acssc.2016.7869096","title":"Distributed adaptive learning of signals defined over graphs","display_name":"Distributed adaptive learning of signals defined over graphs","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2591850822","doi":"https://doi.org/10.1109/acssc.2016.7869096","mag":"2591850822"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2016.7869096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","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/A5000852147","display_name":"Paolo Di Lorenzo","orcid":"https://orcid.org/0000-0002-4130-3177"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Paolo Di Lorenzo","raw_affiliation_strings":["Department of Engineering, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016153147","display_name":"Paolo Banelli","orcid":"https://orcid.org/0000-0002-0004-6370"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Banelli","raw_affiliation_strings":["Department of Engineering, University of Perugia, Perugia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084159640","display_name":"Sergio Barbarossa","orcid":"https://orcid.org/0000-0001-9846-8741"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Barbarossa","raw_affiliation_strings":["Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043691564","display_name":"Stefania Sardellitti","orcid":"https://orcid.org/0000-0002-4749-2933"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefania Sardellitti","raw_affiliation_strings":["Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000852147"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11465073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"527","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980000257492065,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980000257492065,"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/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.994700014591217,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496861219406128},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.6226612329483032},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.586838960647583},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"Distributed learning","score":0.557593822479248},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.5201966166496277},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.519238293170929},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41191551089286804},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3756615221500397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3712332248687744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36747419834136963},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1682186722755432},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.08640840649604797}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496861219406128},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.6226612329483032},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.586838960647583},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.557593822479248},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.5201966166496277},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.519238293170929},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41191551089286804},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3756615221500397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3712332248687744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36747419834136963},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1682186722755432},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.08640840649604797},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2016.7869096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/958784","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/958784","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1568130442","https://openalex.org/W1690143098","https://openalex.org/W1945792210","https://openalex.org/W1991252559","https://openalex.org/W2004559848","https://openalex.org/W2024496749","https://openalex.org/W2030643321","https://openalex.org/W2049947817","https://openalex.org/W2074128440","https://openalex.org/W2078972972","https://openalex.org/W2101491865","https://openalex.org/W2121820607","https://openalex.org/W2160643434","https://openalex.org/W2161763921","https://openalex.org/W2215668387","https://openalex.org/W2232886765","https://openalex.org/W2473995246","https://openalex.org/W2949959605","https://openalex.org/W3098927376"],"related_works":["https://openalex.org/W2038693912","https://openalex.org/W1991602789","https://openalex.org/W1582396021","https://openalex.org/W1988359706","https://openalex.org/W312558119","https://openalex.org/W4210985407","https://openalex.org/W2335441444","https://openalex.org/W138014004","https://openalex.org/W2075598034","https://openalex.org/W1829869244"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,13,35,42,64,89,97],"this":[3],"paper":[4],"is":[5,49,77],"to":[6,22],"propose":[7],"adaptive":[8,29,95],"strategies":[9],"for":[10,73,93],"distributed":[11,28,70,94],"learning":[12,96],"signals":[14],"defined":[15],"over":[16],"graphs.":[17],"Assuming":[18],"the":[19,25,54,58,62,65,74,87,90],"graph":[20,98],"signal":[21],"be":[23],"band-limited,":[24],"method":[26],"enables":[27],"reconstruction":[30],"from":[31,39],"a":[32,40,69],"limited":[33],"number":[34],"sampled":[36],"observations":[37],"taken":[38],"subset":[41],"vertices.":[43],"A":[44],"detailed":[45],"mean":[46],"square":[47],"analysis":[48],"carried":[50],"out":[51],"and":[52,85],"illustrates":[53],"role":[55],"played":[56],"by":[57],"sampling":[59,75],"strategy":[60,72],"on":[61],"performance":[63,88],"proposed":[66,91],"method.":[67],"Finally,":[68],"selection":[71],"set":[76],"provided.":[78],"Several":[79],"numerical":[80],"results":[81],"validate":[82],"our":[83],"methodology,":[84],"illustrate":[86],"algorithm":[92],"signals.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
