{"id":"https://openalex.org/W3159547604","doi":"https://doi.org/10.1109/spawc51858.2021.9593126","title":"Communication-Efficient and Personalized Federated Lottery Ticket Learning","display_name":"Communication-Efficient and Personalized Federated Lottery Ticket Learning","publication_year":2021,"publication_date":"2021-09-27","ids":{"openalex":"https://openalex.org/W3159547604","doi":"https://doi.org/10.1109/spawc51858.2021.9593126","mag":"3159547604"},"language":"en","primary_location":{"id":"doi:10.1109/spawc51858.2021.9593126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc51858.2021.9593126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.12501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065632498","display_name":"Sejin Seo","orcid":"https://orcid.org/0000-0002-3779-6108"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sejin Seo","raw_affiliation_strings":["School of EEE, Yonsei University, Seoul, Korea","Yonsei University,School of EEE,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"School of EEE, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University,School of EEE,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036592953","display_name":"Seung\u2010Woo Ko","orcid":"https://orcid.org/0000-0002-8592-7408"},"institutions":[{"id":"https://openalex.org/I197867492","display_name":"Korea Maritime and Ocean University","ror":"https://ror.org/01v7y5b55","country_code":"KR","type":"education","lineage":["https://openalex.org/I197867492"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seung-Woo Ko","raw_affiliation_strings":["Division of EEE, Korea Maritime and Ocean University, Busan, Korea","Korea Maritime and Ocean University,Division of EEE,Busan,Korea"],"affiliations":[{"raw_affiliation_string":"Division of EEE, Korea Maritime and Ocean University, Busan, Korea","institution_ids":["https://openalex.org/I197867492"]},{"raw_affiliation_string":"Korea Maritime and Ocean University,Division of EEE,Busan,Korea","institution_ids":["https://openalex.org/I197867492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027907258","display_name":"Jihong Park","orcid":"https://orcid.org/0000-0001-7623-6552"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jihong Park","raw_affiliation_strings":["School of Info. Tech., Deakin University, Geelong, Australia","Deakin University,School of Info. Tech.,Geelong,Australia"],"affiliations":[{"raw_affiliation_string":"School of Info. Tech., Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Deakin University,School of Info. Tech.,Geelong,Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027772072","display_name":"Seong\u2010Lyun Kim","orcid":"https://orcid.org/0000-0002-5228-9913"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Lyun Kim","raw_affiliation_strings":["School of EEE, Yonsei University, Seoul, Korea","Yonsei University,School of EEE,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"School of EEE, Yonsei University, Seoul, Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Yonsei University,School of EEE,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061429095","display_name":"Mehdi Bennis","orcid":"https://orcid.org/0000-0003-0261-0171"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mehdi Bennis","raw_affiliation_strings":["Centre for Wireless Comm., University of Oulu, Oulu, Finland","University of Oulu,Centre for Wireless Comm.,Oulu,Finland"],"affiliations":[{"raw_affiliation_string":"Centre for Wireless Comm., University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"University of Oulu,Centre for Wireless Comm.,Oulu,Finland","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065632498"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05630957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"581","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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":0.9915000200271606,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7922045588493347},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6923832297325134},{"id":"https://openalex.org/keywords/lottery","display_name":"Lottery","score":0.6838229298591614},{"id":"https://openalex.org/keywords/unicast","display_name":"Unicast","score":0.6286449432373047},{"id":"https://openalex.org/keywords/ticket","display_name":"Ticket","score":0.5896547436714172},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5315333008766174},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5148035883903503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4762016534805298},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4677182734012604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46521663665771484},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.4388265311717987},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.42078346014022827},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.38079267740249634},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3633430600166321},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17253533005714417},{"id":"https://openalex.org/keywords/multicast","display_name":"Multicast","score":0.1636584997177124},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0966271460056305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922045588493347},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6923832297325134},{"id":"https://openalex.org/C2777340749","wikidata":"https://www.wikidata.org/wiki/Q6684955","display_name":"Lottery","level":2,"score":0.6838229298591614},{"id":"https://openalex.org/C11704745","wikidata":"https://www.wikidata.org/wiki/Q918337","display_name":"Unicast","level":3,"score":0.6286449432373047},{"id":"https://openalex.org/C2776540713","wikidata":"https://www.wikidata.org/wiki/Q7800647","display_name":"Ticket","level":2,"score":0.5896547436714172},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5315333008766174},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5148035883903503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4762016534805298},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4677182734012604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46521663665771484},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.4388265311717987},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.42078346014022827},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38079267740249634},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3633430600166321},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17253533005714417},{"id":"https://openalex.org/C32295351","wikidata":"https://www.wikidata.org/wiki/Q899288","display_name":"Multicast","level":2,"score":0.1636584997177124},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0966271460056305},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/spawc51858.2021.9593126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spawc51858.2021.9593126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.12501","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.12501","pdf_url":"https://arxiv.org/pdf/2104.12501","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3159547604","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2104.12501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:dro.deakin.edu.au:DU:30162123","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20623677","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Communication-Efficient_and_Personalized_Federated_Lottery_Ticket_Learning/20623677","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2104.12501","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.12501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.12501","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.12501","pdf_url":"https://arxiv.org/pdf/2104.12501","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3159547604.pdf","grobid_xml":"https://content.openalex.org/works/W3159547604.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2009915208","https://openalex.org/W2165644552","https://openalex.org/W2541884796","https://openalex.org/W2949505878","https://openalex.org/W2963300197","https://openalex.org/W2963813662","https://openalex.org/W2970277060","https://openalex.org/W2979359324","https://openalex.org/W3035180000","https://openalex.org/W3038042737","https://openalex.org/W3048121440","https://openalex.org/W3080934299","https://openalex.org/W3105124822","https://openalex.org/W3129336662","https://openalex.org/W3134389780","https://openalex.org/W6684671274","https://openalex.org/W6728757088","https://openalex.org/W6738383168","https://openalex.org/W6751979845","https://openalex.org/W6761601108","https://openalex.org/W6763780468","https://openalex.org/W6768297860","https://openalex.org/W6770699648","https://openalex.org/W6780069234","https://openalex.org/W6781891088","https://openalex.org/W6791987244"],"related_works":["https://openalex.org/W3212947041","https://openalex.org/W3157909872","https://openalex.org/W2945996667","https://openalex.org/W3203746801","https://openalex.org/W3183853070","https://openalex.org/W2989289980","https://openalex.org/W3036485160","https://openalex.org/W3160422338","https://openalex.org/W2972051725","https://openalex.org/W2995460819","https://openalex.org/W3111415751","https://openalex.org/W2949003697","https://openalex.org/W3105758545","https://openalex.org/W3128382687","https://openalex.org/W3167718206","https://openalex.org/W3046178819","https://openalex.org/W3040552057","https://openalex.org/W3045747588","https://openalex.org/W2535838896","https://openalex.org/W3196221062"],"abstract_inverted_index":{"The":[0],"lottery":[1,90,116],"ticket":[2,91],"hypothesis":[3],"(LTH)":[4],"claims":[5],"that":[6,31,124],"a":[7,15,51,85,106],"deep":[8],"neural":[9],"network":[10],"(i.e.,":[11,19],"ground":[12,34],"network)":[13],"contains":[14],"number":[16],"of":[17,23,32],"subnetworks":[18],"winning":[20,48],"tickets),":[21],"each":[22],"which":[24,96],"exhibiting":[25],"identically":[26],"accurate":[27],"inference":[28],"capability":[29],"as":[30],"the":[33,69,144],"network.":[35],"Federated":[36],"learning":[37,58,92,117],"(FL)":[38],"has":[39],"recently":[40],"been":[41],"applied":[42],"in":[43,50,80],"LotteryFL":[44,63],"to":[45,118,128],"discover":[46],"such":[47],"tickets":[49],"distributed":[52],"way,":[53],"showing":[54],"higher":[55,130],"accuracy":[56,134],"multi-task":[57],"than":[59],"Vanilla":[60],"FL.":[61],"Nonetheless,":[62],"relies":[64],"on":[65,68],"unicast":[66],"transmission":[67],"downlink,":[70],"and":[71,87,115],"ignores":[72],"mitigating":[73],"stragglers,":[74],"questioning":[75],"scalability.":[76],"Motivated":[77],"by":[78],"this,":[79],"this":[81],"article":[82],"we":[83],"propose":[84],"personalized":[86,131],"communication-efficient":[88],"federated":[89],"algorithm,":[93],"coined":[94],"CELL,":[95],"exploits":[97],"downlink":[98],"broadcast":[99],"for":[100],"communication":[101,139],"efficiency.":[102],"Furthermore,":[103],"it":[104],"utilizes":[105],"novel":[107],"user":[108],"grouping":[109],"method,":[110],"thereby":[111],"alternating":[112],"between":[113],"FL":[114],"mitigate":[119],"stragglers.":[120],"Numerical":[121],"simulations":[122],"validate":[123],"CELL":[125],"achieves":[126],"up":[127],"3.6%":[129],"task":[132],"classification":[133],"with":[135],"4.3x":[136],"smaller":[137],"total":[138],"cost":[140],"until":[141],"convergence":[142],"under":[143],"CIFAR-10":[145],"dataset.":[146]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}