{"id":"https://openalex.org/W4393395440","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10477031","title":"Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach","display_name":"Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4393395440","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10477031"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59524.2023.10477031","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10477031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th 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/A5008059715","display_name":"Muhammad Faraz Ul Abrar","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Muhammad Faraz Ul Abrar","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064634430","display_name":"Nicol\u00f2 Michelusi","orcid":"https://orcid.org/0000-0002-5521-6496"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicol\u00f2 Michelusi","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008059715"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2164843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.9922999739646912,"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/T10237","display_name":"Cryptography and Data Security","score":0.9922999739646912,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9897000193595886,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9815999865531921,"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/computer-science","display_name":"Computer science","score":0.8233933448791504},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6014072299003601},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3939170241355896},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.38450944423675537},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.33192625641822815},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06790795922279358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8233933448791504},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6014072299003601},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3939170241355896},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38450944423675537},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.33192625641822815},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06790795922279358},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf59524.2023.10477031","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10477031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3424116598","display_name":null,"funder_award_id":"CNS-2129615","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2975156709","https://openalex.org/W2981138228","https://openalex.org/W2999074226","https://openalex.org/W3006919779","https://openalex.org/W3015636663","https://openalex.org/W3038028469","https://openalex.org/W3089655738","https://openalex.org/W3090615085","https://openalex.org/W3094368349","https://openalex.org/W3126228234","https://openalex.org/W3139262588","https://openalex.org/W3170139470","https://openalex.org/W3214304699","https://openalex.org/W4292264494","https://openalex.org/W4293195474","https://openalex.org/W4388145585","https://openalex.org/W6728757088","https://openalex.org/W6729007826","https://openalex.org/W6746200960"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Over-the-air":[0],"(OTA)":[1],"computation":[2],"has":[3],"recently":[4],"emerged":[5],"as":[6,125],"a":[7,75,115,144,183],"communication-efficient":[8],"Federated":[9],"Learning":[10],"(FL)":[11],"paradigm":[12],"to":[13,48,90,143],"train":[14],"machine":[15],"learning":[16],"models":[17],"over":[18,105],"wireless":[19],"networks.":[20],"However,":[21],"its":[22,93,102],"performance":[23],"is":[24],"limited":[25],"by":[26,166],"the":[27,30,40,55,59,83,96,110,121,126,129,135,140,148,157,170,179],"device":[28,89,150],"with":[29],"worst":[31],"SNR,":[32],"resulting":[33],"in":[34,80,172,192],"fast":[35],"yet":[36],"noisy":[37],"updates.":[38],"On":[39],"other":[41],"hand,":[42],"allocating":[43],"orthogonal":[44,107],"resource":[45],"blocks":[46],"(RB)":[47],"individual":[49],"devices":[50,171],"via":[51,95],"digital":[52,158,180],"channels":[53],"mitigates":[54],"noise":[56],"problem,":[57],"at":[58,139],"cost":[60],"of":[61,128,169],"increased":[62],"communication":[63],"latency.":[64],"In":[65],"this":[66,70],"paper,":[67],"we":[68,119],"address":[69],"discrepancy":[71],"and":[72,153,189,195],"present":[73],"ADFL,":[74,165],"novel":[76],"Analog-Digital":[77],"FL":[78,117],"scheme:":[79],"each":[81,88],"round,":[82,118],"parameter":[84],"server":[85],"(PS)":[86],"schedules":[87],"either":[91],"upload":[92],"gradient":[94,104,138],"analog":[97],"OTA":[98,173],"scheme":[99,174,181],"or":[100],"transmit":[101],"quantized":[103],"an":[106],"RB":[108],"using":[109],"\u201cdigital\u201d":[111],"scheme.":[112],"Focusing":[113],"on":[114,134],"single":[116],"cast":[120],"optimal":[122,149],"scheduling":[123,151,167],"problem":[124],"minimization":[127],"mean":[130],"squared":[131],"error":[132],"(MSE)":[133],"estimated":[136],"global":[137],"PS,":[141],"subject":[142],"delay":[145],"constraint,":[146],"yielding":[147],"configuration":[152],"quantization":[154],"bits":[155],"for":[156,182],"devices.":[159],"Our":[160],"simulation":[161],"results":[162],"show":[163],"that":[164],"most":[168],"while":[175],"also":[176],"occasionally":[177],"employing":[178],"few":[184],"devices,":[185],"consistently":[186],"outperforms":[187],"OTA-only":[188],"digital-only":[190],"schemes,":[191],"both":[193],"i.i.d.":[194],"non-i.i.d.":[196],"settings.":[197]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
