{"id":"https://openalex.org/W4401540290","doi":"https://doi.org/10.1109/infocomwkshps61880.2024.10620860","title":"FedBF16-Dynamic: Communication-Efficient Federated Learning with Adaptive Transmission","display_name":"FedBF16-Dynamic: Communication-Efficient Federated Learning with Adaptive Transmission","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401540290","doi":"https://doi.org/10.1109/infocomwkshps61880.2024.10620860"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps61880.2024.10620860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocomwkshps61880.2024.10620860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5000917818","display_name":"Fan\u2010Hsun Tseng","orcid":"https://orcid.org/0000-0003-2461-8377"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fan-Hsun Tseng","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103896617","display_name":"Yu-Hsiang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Hsiang Huang","raw_affiliation_strings":["National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7327172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"149","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T10237","display_name":"Cryptography and Data Security","score":0.9858999848365784,"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":0.9790999889373779,"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":0.8086596727371216},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5981274247169495},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32503122091293335},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18338584899902344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086596727371216},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5981274247169495},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32503122091293335},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18338584899902344}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps61880.2024.10620860","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocomwkshps61880.2024.10620860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2606891064","https://openalex.org/W2981849318","https://openalex.org/W3012798438","https://openalex.org/W3015636663","https://openalex.org/W3086809868","https://openalex.org/W3101036738","https://openalex.org/W3118608800","https://openalex.org/W4285170564","https://openalex.org/W4285302300","https://openalex.org/W6728757088","https://openalex.org/W6770308229","https://openalex.org/W6780501606","https://openalex.org/W6782945521","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Federated":[0],"learning":[1],"has":[2],"a":[3,7,58],"communication":[4,68,88,93,123],"bottleneck":[5],"since":[6],"considerable":[8],"number":[9],"of":[10,50,70,107,133],"parameters":[11],"are":[12,96],"transferred":[13],"between":[14],"the":[15,30,44,47,54,66,74,101,112,118,130],"central":[16],"server":[17],"and":[18,125],"edge":[19,102],"devices.":[20],"Therefore,":[21],"some":[22],"prior":[23],"works":[24],"proposed":[25,119],"compression":[26],"methods":[27],"by":[28],"using":[29],"top-k":[31],"sparsification":[32],"to":[33,82],"solve":[34],"communication-efficient":[35],"issue.":[36],"However,":[37],"we":[38,56,72],"observe":[39],"that":[40,117],"this":[41],"method":[42],"affects":[43],"accuracy":[45],"in":[46,135],"early":[48,67],"stage":[49],"training.":[51],"To":[52],"address":[53],"problem,":[55],"propose":[57],"novel":[59],"parameter":[60],"upload":[61,83,98],"mechanism,":[62],"viz.":[63],"FedBF16-Dynamic.":[64],"In":[65,91],"rounds":[69],"training,":[71],"apply":[73],"brain":[75],"floating-point":[76],"(Bfloat16)":[77],"for":[78,100],"transmission":[79],"numerical":[80],"type":[81],"model":[84],"parameters,":[85],"which":[86],"reduces":[87,122],"cost":[89,124],"comprehensively.":[90],"subsequent":[92],"rounds,":[94],"there":[95],"two":[97],"schemes":[99],"devices":[103],"with":[104,111],"different":[105],"levels":[106],"uplink":[108],"bandwidth.":[109],"Compared":[110],"baseline,":[113],"simulation":[114],"results":[115],"show":[116],"FedBF16-Dynamic":[120],"scheme":[121],"achieves":[126],"higher":[127],"performance":[128],"within":[129],"least":[131],"amount":[132],"time":[134],"various":[136],"network":[137],"environments.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
