{"id":"https://openalex.org/W4404953291","doi":"https://doi.org/10.1109/latincom62985.2024.10770693","title":"Federated Learning in Drone-based Systems","display_name":"Federated Learning in Drone-based Systems","publication_year":2024,"publication_date":"2024-11-06","ids":{"openalex":"https://openalex.org/W4404953291","doi":"https://doi.org/10.1109/latincom62985.2024.10770693"},"language":"en","primary_location":{"id":"doi:10.1109/latincom62985.2024.10770693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom62985.2024.10770693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin-American Conference on Communications (LATINCOM)","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/A5073712204","display_name":"Otto B. Piramuthu","orcid":"https://orcid.org/0000-0003-4839-9199"},"institutions":[{"id":"https://openalex.org/I183874917","display_name":"Urbana University","ror":"https://ror.org/04kp3hw27","country_code":"US","type":"education","lineage":["https://openalex.org/I183874917"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Otto B. Piramuthu","raw_affiliation_strings":["UIUC,Computer Science,Urbana,IL,USA,61801"],"affiliations":[{"raw_affiliation_string":"UIUC,Computer Science,Urbana,IL,USA,61801","institution_ids":["https://openalex.org/I183874917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038897777","display_name":"Matthew Caesar","orcid":"https://orcid.org/0000-0001-5955-9229"},"institutions":[{"id":"https://openalex.org/I183874917","display_name":"Urbana University","ror":"https://ror.org/04kp3hw27","country_code":"US","type":"education","lineage":["https://openalex.org/I183874917"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Caesar","raw_affiliation_strings":["UIUC,Computer Science,Urbana,IL,USA,61801"],"affiliations":[{"raw_affiliation_string":"UIUC,Computer Science,Urbana,IL,USA,61801","institution_ids":["https://openalex.org/I183874917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073712204"],"corresponding_institution_ids":["https://openalex.org/I183874917"],"apc_list":null,"apc_paid":null,"fwci":0.7548,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.810797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9947999715805054,"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"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9947999715805054,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9830999970436096,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9710000157356262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.9267464876174927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.731191873550415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46292826533317566},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3689195513725281}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.9267464876174927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731191873550415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46292826533317566},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3689195513725281},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom62985.2024.10770693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom62985.2024.10770693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin-American Conference on Communications (LATINCOM)","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":21,"referenced_works":["https://openalex.org/W2115230768","https://openalex.org/W2900594532","https://openalex.org/W2982475424","https://openalex.org/W3012438347","https://openalex.org/W3107557773","https://openalex.org/W3116690515","https://openalex.org/W3129329365","https://openalex.org/W3137336600","https://openalex.org/W3156841666","https://openalex.org/W4280543013","https://openalex.org/W4280646236","https://openalex.org/W4309650792","https://openalex.org/W4380563873","https://openalex.org/W6632157056","https://openalex.org/W6665818925","https://openalex.org/W6745458143","https://openalex.org/W6746839373","https://openalex.org/W6768511045","https://openalex.org/W6785768294","https://openalex.org/W6799650887","https://openalex.org/W6803097442"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281"],"abstract_inverted_index":{"Drone-based":[0],"systems":[1],"are":[2,208],"extremely":[3],"dynamic":[4,91],"as":[5,54,70],"these":[6,117],"drones":[7,111,127,162,189],"move":[8],"independent":[9],"of":[10,42,56,126,137,160,170,173,188,201],"one":[11],"another":[12],"depending":[13],"on":[14],"the":[15,19,36,83,98,110,113,121,124,135,144,152,161,171,186,199,215],"demand":[16],"source":[17],"for":[18,67,129,163,220,234],"services":[20],"they":[21],"provide.":[22],"To":[23],"effectively":[24,225],"learn":[25],"concepts":[26],"in":[27,88,100,192],"such":[28,43,53,68,89],"systems,":[29],"we":[30,119],"need":[31],"sensor-based":[32],"data":[33,44,81],"from":[34,140,176],"all":[35,109],"drones.":[37],"However,":[38,86],"accumulation":[39],"and":[40,78,112,134,167,198],"processing":[41],"at":[45],"a":[46,64,90,158],"central":[47,84],"location":[48],"is":[49,63,93],"subject":[50],"to":[51,97,143,151,156],"vulnerabilities":[52],"exposure":[55],"private":[57],"drone-based":[58],"information.":[59],"Federated":[60],"Learning":[61],"(FL)":[62],"natural":[65],"choice":[66],"applications":[69],"each":[71,130,141,164,177,180,205],"drone":[72,142,178,207,221],"only":[73],"shares":[74],"its":[75,80],"updated":[76],"model":[77],"not":[79],"with":[82,105,228],"entity.":[85],"learning":[87,132,165,181],"setup":[92],"rendered":[94],"difficult":[95],"due":[96],"challenges":[99],"maintaining":[101],"consistent":[102],"wireless":[103],"link":[104],"necessary":[106],"bandwidth":[107],"between":[108,123],"base":[114],"station.":[115],"Given":[116],"constraints,":[118],"study":[120],"tradeoff":[122],"number":[125,187],"selected":[128],"FL":[131,195],"round":[133,166,197],"amount":[136,172,200],"information":[138,174,202,231],"transferred":[139],"server.":[145],"We":[146,183],"use":[147],"an":[148,229],"approximate":[149],"solution":[150],"multiple-choice":[153,217],"online":[154,218],"algorithm":[155,219,233],"select":[157],"subset":[159],"random":[168],"selection":[169,222,232],"sent":[175],"during":[179],"round.":[182],"observe":[184],"that":[185,190,214],"participate":[191],"any":[193],"given":[194],"training":[196],"shared":[203],"by":[204],"participating":[206],"complementary.":[209],"Our":[210],"preliminary":[211],"results":[212],"show":[213],"lightweight":[216],"can":[223],"be":[224],"used":[226],"along":[227],"appropriate":[230],"improved":[235],"system":[236],"performance.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}