{"id":"https://openalex.org/W4386072570","doi":"https://doi.org/10.1109/mdm58254.2023.00020","title":"One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes","display_name":"One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386072570","doi":"https://doi.org/10.1109/mdm58254.2023.00020"},"language":"en","primary_location":{"id":"doi:10.1109/mdm58254.2023.00020","doi":"https://doi.org/10.1109/mdm58254.2023.00020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mdm58254.2023.00020","pdf_url":null,"source":{"id":"https://openalex.org/S4393917546","display_name":"IEEE International Conference on Mobile Data Management (MDM)","issn_l":"1551-6245","issn":["1551-6245"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 24th IEEE International Conference on Mobile Data Management (MDM)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.12316","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052668861","display_name":"Mohamed Elmahallawy","orcid":"https://orcid.org/0000-0002-5731-9253","observed_orcids":["https://orcid.org/0000-0002-5731-9253"]},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Elmahallawy","raw_affiliation_strings":["Missouri University of Science and Technology,Department of Computer Science,Rolla,MO,USA,65409"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology,Department of Computer Science,Rolla,MO,USA,65409","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049199248","display_name":"Tie Luo","orcid":"https://orcid.org/0000-0003-2947-3111","observed_orcids":["https://orcid.org/0000-0003-2947-3111"]},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tie Luo","raw_affiliation_strings":["Missouri University of Science and Technology,Department of Computer Science,Rolla,MO,USA,65409"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology,Department of Computer Science,Rolla,MO,USA,65409","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":2.6629,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92340426,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"45","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9970999956130981,"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":0.9970999956130981,"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/T12042","display_name":"Satellite Communication Systems","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":9.999999747378752e-05,"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/one-shot-federated-learning","display_name":"one-shot federated learning","score":0.9359999895095825},{"id":"https://openalex.org/keywords/low-earth-orbit-satellite-constellations","display_name":"LEO satellite constellations","score":0.9150000214576721},{"id":"https://openalex.org/keywords/convergence-time-reduction","display_name":"convergence time reduction","score":0.722000002861023},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.824999988079071},{"id":"https://openalex.org/keywords/synthetic-data-generation","display_name":"synthetic data generation","score":0.824999988079071},{"id":"https://openalex.org/keywords/privacy-preserving-machine-learning","display_name":"privacy-preserving machine learning","score":0.7760000228881836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7679081559181213},{"id":"https://openalex.org/C70352696","wikidata":"https://www.wikidata.org/wiki/Q8928","display_name":"Constellation","level":2,"score":0.6712422370910645},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5835644602775574},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5490272045135498},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.48824432492256165},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45142120122909546},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.41820862889289856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38511741161346436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28463155031204224},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1162118911743164},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mdm58254.2023.00020","doi":"https://doi.org/10.1109/mdm58254.2023.00020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mdm58254.2023.00020","pdf_url":null,"source":{"id":"https://openalex.org/S4393917546","display_name":"IEEE International Conference on Mobile Data Management (MDM)","issn_l":"1551-6245","issn":["1551-6245"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 24th IEEE International Conference on Mobile Data Management (MDM)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2305.12316","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.12316","pdf_url":"https://arxiv.org/pdf/2305.12316","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.12316","doi":"https://doi.org/10.48550/arxiv.2305.12316","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.12316","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.12316","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.12316","pdf_url":"https://arxiv.org/pdf/2305.12316","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6567702032","display_name":"CNS Core: Small: FLINT: Robust Federated Learning for Internet of Things","funder_award_id":"2008878","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386072570.pdf","grobid_xml":"https://content.openalex.org/works/W4386072570.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2007339694","https://openalex.org/W2541884796","https://openalex.org/W2902287157","https://openalex.org/W2917462349","https://openalex.org/W2964016283","https://openalex.org/W2964137095","https://openalex.org/W2995022099","https://openalex.org/W3024145172","https://openalex.org/W3034368386","https://openalex.org/W3035453001","https://openalex.org/W3036485160","https://openalex.org/W3086152015","https://openalex.org/W3100733145","https://openalex.org/W3124293845","https://openalex.org/W3168244992","https://openalex.org/W3192098883","https://openalex.org/W3197055488","https://openalex.org/W3207236107","https://openalex.org/W3216338889","https://openalex.org/W3217299421","https://openalex.org/W4221148896","https://openalex.org/W4312262807","https://openalex.org/W4318147387","https://openalex.org/W4321636815","https://openalex.org/W4387883786","https://openalex.org/W6850576463"],"related_works":["https://openalex.org/W4225516680","https://openalex.org/W4318147387","https://openalex.org/W3197055488","https://openalex.org/W4387883786","https://openalex.org/W4392152825","https://openalex.org/W7168180144","https://openalex.org/W4321636815","https://openalex.org/W4312262807","https://openalex.org/W4403420278","https://openalex.org/W4364297008"],"abstract_inverted_index":{"A":[0],"Low":[1],"Earth":[2],"orbit":[3],"(LEO)":[4],"satellite":[5],"constellation":[6],"consists":[7],"of":[8,12,25,37,43,105,165,183],"a":[9,68,118,131,206],"large":[10,35,207],"number":[11],"small":[13],"satellites":[14],"traveling":[15],"in":[16,110],"space":[17],"with":[18,197],"high":[19],"mobility":[20,26,57],"and":[21,46,63,80,85,96,152,159,168],"collecting":[22],"vast":[23],"amounts":[24],"data":[27,58,79,147],"such":[28],"as":[29],"cloud":[30],"movement":[31],"for":[32,76,123],"weather":[33],"forecast,":[34],"herds":[36],"animals":[38],"migrating":[39],"across":[40],"geo-regions,":[41],"spreading":[42],"forest":[44],"fires,":[45],"aircraft":[47],"tracking.":[48],"Machine":[49],"learning":[50,139],"can":[51],"be":[52],"utilized":[53],"to":[54,59,102,107,135],"analyze":[55],"these":[56],"address":[60],"global":[61],"challenges,":[62],"Federated":[64],"Learning":[65],"(FL)":[66],"is":[67,82,194],"promising":[69],"approach":[70,122],"because":[71],"it":[72,173],"eliminates":[73],"the":[74,97,137,163,166,169,188],"need":[75],"transmitting":[77],"raw":[78],"hence":[81],"both":[83],"bandwidth":[84],"privacy-friendly.":[86],"However,":[87],"FL":[88,121,176,203],"requires":[89],"many":[90],"communication":[91,133],"rounds":[92],"between":[93],"clients":[94],"(satellites)":[95],"parameter":[98],"server":[99],"(PS),":[100],"leading":[101],"substantial":[103],"delays":[104],"up":[106],"several":[108],"days":[109],"LEO":[111,124],"constellations.":[112],"In":[113],"this":[114],"paper,":[115],"we":[116],"propose":[117],"novel":[119],"one-shot":[120,189],"satellites,":[125],"called":[126],"LEOShot,":[127],"that":[128,172],"needs":[129],"only":[130],"single":[132],"round":[134],"complete":[136],"entire":[138],"process.":[140],"LEOShot":[141,161],"comprises":[142],"three":[143],"processes:":[144],"(i)":[145],"synthetic":[146],"generation,":[148],"(ii)":[149],"knowledge":[150],"distillation,":[151],"(iii)":[153],"virtual":[154],"model":[155,192],"retraining.":[156],"We":[157],"evaluate":[158],"benchmark":[160],"against":[162],"state":[164],"art":[167],"results":[170],"show":[171],"drastically":[174],"expedites":[175],"convergence":[177],"by":[178,205],"more":[179],"than":[180],"an":[181],"order":[182],"magnitude.":[184],"Also":[185],"surprisingly,":[186],"despite":[187],"nature,":[190],"its":[191],"accuracy":[193],"on":[195],"par":[196],"or":[198],"even":[199],"outperforms":[200],"regular":[201],"iterative":[202],"schemes":[204],"margin.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2023-08-23T00:00:00"}