{"id":"https://openalex.org/W4379780985","doi":"https://doi.org/10.1109/tsp.2023.3284376","title":"Device Scheduling in Over-the-Air Federated Learning Via Matching Pursuit","display_name":"Device Scheduling in Over-the-Air Federated Learning Via Matching Pursuit","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379780985","doi":"https://doi.org/10.1109/tsp.2023.3284376"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2023.3284376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3284376","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/A5061064331","display_name":"Ali Bereyhi","orcid":"https://orcid.org/0000-0001-9565-6405"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Bereyhi","raw_affiliation_strings":["Wireless Computing Lab, University of Toronto, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9565-6405","affiliations":[{"raw_affiliation_string":"Wireless Computing Lab, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084973495","display_name":"Adela Vagollari","orcid":"https://orcid.org/0000-0002-0874-3306"},"institutions":[{"id":"https://openalex.org/I67348948","display_name":"Bayer (Germany)","ror":"https://ror.org/04hmn8g73","country_code":"DE","type":"company","lineage":["https://openalex.org/I67348948"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Adela Vagollari","raw_affiliation_strings":["Institute for Digital Communications, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg, Erlangen, Bayern, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0874-3306","affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg, Erlangen, Bayern, Germany","institution_ids":["https://openalex.org/I67348948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069262360","display_name":"Saba Asaad","orcid":"https://orcid.org/0000-0001-7423-1336"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Saba Asaad","raw_affiliation_strings":["Next Generation Wireless Networks, Research Lab at York University, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7423-1336","affiliations":[{"raw_affiliation_string":"Next Generation Wireless Networks, Research Lab at York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026710677","display_name":"Ralf R. M\u00fcller","orcid":"https://orcid.org/0000-0003-3780-9308"},"institutions":[{"id":"https://openalex.org/I67348948","display_name":"Bayer (Germany)","ror":"https://ror.org/04hmn8g73","country_code":"DE","type":"company","lineage":["https://openalex.org/I67348948"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf R. M\u00fcller","raw_affiliation_strings":["Institute for Digital Communications, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg, Erlangen, Bayern, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3780-9308","affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg, Erlangen, Bayern, Germany","institution_ids":["https://openalex.org/I67348948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050486496","display_name":"Wolfgang Gerstacker","orcid":"https://orcid.org/0000-0002-5656-7829"},"institutions":[{"id":"https://openalex.org/I67348948","display_name":"Bayer (Germany)","ror":"https://ror.org/04hmn8g73","country_code":"DE","type":"company","lineage":["https://openalex.org/I67348948"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Gerstacker","raw_affiliation_strings":["Institute for Digital Communications, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg, Erlangen, Bayern, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5656-7829","affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg, Erlangen, Bayern, Germany","institution_ids":["https://openalex.org/I67348948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-2062-131X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3311,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.93275479,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"2188","last_page":"2203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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":0.996999979019165,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/notation","display_name":"Notation","score":0.706169605255127},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.481781929731369},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4687979817390442},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4250931143760681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4210833013057709},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41126903891563416},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3585256338119507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3490803837776184},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3295274078845978},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.13671371340751648},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.117399662733078}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.706169605255127},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.481781929731369},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4687979817390442},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4250931143760681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4210833013057709},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41126903891563416},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3585256338119507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3490803837776184},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3295274078845978},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13671371340751648},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.117399662733078},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2023.3284376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3284376","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":[{"id":"https://openalex.org/G8554439942","display_name":null,"funder_award_id":"CNS-2128448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320319788","display_name":"C3.ai Digital Transformation Institute","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":103,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W1589133845","https://openalex.org/W1686810756","https://openalex.org/W1751687266","https://openalex.org/W1982573289","https://openalex.org/W2051267297","https://openalex.org/W2056916045","https://openalex.org/W2065321782","https://openalex.org/W2065829287","https://openalex.org/W2087039524","https://openalex.org/W2127271355","https://openalex.org/W2128011496","https://openalex.org/W2137804319","https://openalex.org/W2140227342","https://openalex.org/W2140856955","https://openalex.org/W2145096794","https://openalex.org/W2151693816","https://openalex.org/W2161044775","https://openalex.org/W2187603890","https://openalex.org/W2289917018","https://openalex.org/W2392395307","https://openalex.org/W2398409936","https://openalex.org/W2416799949","https://openalex.org/W2530417694","https://openalex.org/W2550348766","https://openalex.org/W2678047256","https://openalex.org/W2751904527","https://openalex.org/W2770606349","https://openalex.org/W2772646190","https://openalex.org/W2774000609","https://openalex.org/W2803956200","https://openalex.org/W2806414180","https://openalex.org/W2861117319","https://openalex.org/W2896225285","https://openalex.org/W2907379776","https://openalex.org/W2909717101","https://openalex.org/W2950865323","https://openalex.org/W2963773265","https://openalex.org/W2964231067","https://openalex.org/W2969343398","https://openalex.org/W2971667645","https://openalex.org/W2975156709","https://openalex.org/W2980910578","https://openalex.org/W2981138228","https://openalex.org/W2989289980","https://openalex.org/W2990747873","https://openalex.org/W2999074226","https://openalex.org/W3004098417","https://openalex.org/W3004384679","https://openalex.org/W3010262580","https://openalex.org/W3016632787","https://openalex.org/W3021654819","https://openalex.org/W3028318515","https://openalex.org/W3033664100","https://openalex.org/W3034839415","https://openalex.org/W3035990479","https://openalex.org/W3038028469","https://openalex.org/W3041971333","https://openalex.org/W3046653923","https://openalex.org/W3089655738","https://openalex.org/W3100283647","https://openalex.org/W3103657382","https://openalex.org/W3109847748","https://openalex.org/W3113075536","https://openalex.org/W3117560501","https://openalex.org/W3118608800","https://openalex.org/W3119680904","https://openalex.org/W3119842887","https://openalex.org/W3126184779","https://openalex.org/W3134054640","https://openalex.org/W3146591378","https://openalex.org/W3148526481","https://openalex.org/W3155912831","https://openalex.org/W3156841666","https://openalex.org/W3159080474","https://openalex.org/W3160246415","https://openalex.org/W3167689670","https://openalex.org/W3188102017","https://openalex.org/W3204091362","https://openalex.org/W3212347076","https://openalex.org/W3213291156","https://openalex.org/W4250955649","https://openalex.org/W4282958543","https://openalex.org/W4285722492","https://openalex.org/W4287332481","https://openalex.org/W4287906413","https://openalex.org/W4318619660","https://openalex.org/W6637373629","https://openalex.org/W6728757088","https://openalex.org/W6729485783","https://openalex.org/W6746839373","https://openalex.org/W6751961731","https://openalex.org/W6757257686","https://openalex.org/W6759226220","https://openalex.org/W6767834040","https://openalex.org/W6769871928","https://openalex.org/W6772318479","https://openalex.org/W6774857738","https://openalex.org/W6778846477","https://openalex.org/W6787942926","https://openalex.org/W6787972765","https://openalex.org/W6795843344","https://openalex.org/W6839040940"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2504004674","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"a":[3,53],"class":[4],"of":[5,17,91,115],"low-complexity":[6],"device":[7],"scheduling":[8],"algorithms":[9,40],"for":[10,61,102],"over-the-air":[11],"federated":[12],"learning":[13],"via":[14],"the":[15,25,37,47,49,59,74,77,89,92,116,122],"method":[16],"matching":[18],"pursuit.":[19],"The":[20,113],"proposed":[21,50,93,117],"scheme":[22,51,94,118],"tracks":[23],"closely":[24],"<italic":[26],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[27,63,69,83,98,105],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">close-to-optimal</i>":[28],"performance":[29],"achieved":[30],"by":[31],"difference-of-convex":[32],"programming,":[33],"and":[34,67,125],"outperforms":[35],"significantly":[36],"well-known":[38],"benchmark":[39,78],"based":[41],"on":[42,58,128],"convex":[43],"relaxation.":[44],"Compared":[45],"to":[46],"state-of-the-art,":[48],"imposes":[52],"drastically":[54],"lower":[55],"computational":[56],"load":[57],"system:":[60],"<inline-formula":[62,68,82,97,104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[64,70,84,99,106],"notation=\"LaTeX\">$K$</tex-math></inline-formula>":[65],"devices":[66],"notation=\"LaTeX\">$N$</tex-math></inline-formula>":[71],"antennas":[72],"at":[73],"parameter":[75],"server,":[76],"complexity":[79,90],"scales":[80,95],"with":[81,96],"notation=\"LaTeX\">$(N^{2}+K)^{3}":[85],"+":[86],"N^{6}$</tex-math></inline-formula>":[87],"while":[88],"notation=\"LaTeX\">${K^{p}":[100],"N^{q}}$</tex-math></inline-formula>":[101],"some":[103],"notation=\"LaTeX\">$0":[107],"\\lt":[108],"p,q":[109],"\\leq":[110],"2$</tex-math></inline-formula>":[111],".":[112],"efficiency":[114],"is":[119],"confirmed":[120],"through":[121],"convergence":[123],"analysis":[124],"numerical":[126],"experiments":[127],"CIFAR-10":[129],"dataset.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
