{"id":"https://openalex.org/W4401596710","doi":"https://doi.org/10.1109/lwc.2024.3443295","title":"Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism","display_name":"Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism","publication_year":2024,"publication_date":"2024-08-14","ids":{"openalex":"https://openalex.org/W4401596710","doi":"https://doi.org/10.1109/lwc.2024.3443295"},"language":"en","primary_location":{"id":"doi:10.1109/lwc.2024.3443295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2024.3443295","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-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/A5014908737","display_name":"Chen Shang","orcid":"https://orcid.org/0009-0007-4101-0001"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chen Shang","raw_affiliation_strings":["Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0007-4101-0001","affiliations":[{"raw_affiliation_string":"Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007992576","display_name":"Dinh Thai Hoang","orcid":"https://orcid.org/0000-0002-9528-0863"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dinh Thai Hoang","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9528-0863","affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009540304","display_name":"Min Hao","orcid":"https://orcid.org/0009-0001-2970-3637"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Min Hao","raw_affiliation_strings":["Singapore University of Technology and Design, Tampines, Singapore"],"raw_orcid":"https://orcid.org/0009-0001-2970-3637","affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Tampines, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091266202","display_name":"Dusit Niyato","orcid":"https://orcid.org/0000-0002-7442-7416"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dusit Niyato","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7442-7416","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051524453","display_name":"Jiadong Yu","orcid":"https://orcid.org/0000-0002-8073-8851"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiadong Yu","raw_affiliation_strings":["Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-8073-8851","affiliations":[{"raw_affiliation_string":"Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014908737"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0043,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91777864,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"10","first_page":"2742","last_page":"2746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11133","display_name":"UAV Applications and Optimization","score":0.9918000102043152,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9873999953269958,"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/computer-science","display_name":"Computer science","score":0.7165364027023315},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.7035611867904663},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6976694464683533},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5635714530944824},{"id":"https://openalex.org/keywords/swarming","display_name":"Swarming (honey bee)","score":0.5036203265190125},{"id":"https://openalex.org/keywords/swarm-robotics","display_name":"Swarm robotics","score":0.5033130049705505},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4571738839149475},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44172123074531555},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.42062005400657654},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3792003393173218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3681378960609436},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09388148784637451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165364027023315},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.7035611867904663},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6976694464683533},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5635714530944824},{"id":"https://openalex.org/C164017216","wikidata":"https://www.wikidata.org/wiki/Q1549094","display_name":"Swarming (honey bee)","level":2,"score":0.5036203265190125},{"id":"https://openalex.org/C169337768","wikidata":"https://www.wikidata.org/wiki/Q2446723","display_name":"Swarm robotics","level":3,"score":0.5033130049705505},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4571738839149475},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44172123074531555},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.42062005400657654},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3792003393173218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3681378960609436},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09388148784637451},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lwc.2024.3443295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lwc.2024.3443295","pdf_url":null,"source":{"id":"https://openalex.org/S2500830676","display_name":"IEEE Wireless Communications Letters","issn_l":"2162-2337","issn":["2162-2337","2162-2345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Wireless Communications Letters","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-145624","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-145624","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309617","display_name":"National Foundation for Science and Technology Development","ror":"https://ror.org/04rw64z44"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2007339694","https://openalex.org/W2750384547","https://openalex.org/W2920095265","https://openalex.org/W2964023906","https://openalex.org/W3038819247","https://openalex.org/W3045898871","https://openalex.org/W3102040318","https://openalex.org/W3109847748","https://openalex.org/W3155912831","https://openalex.org/W3159080474","https://openalex.org/W4212849585","https://openalex.org/W4242867364","https://openalex.org/W4391697032","https://openalex.org/W4391853594","https://openalex.org/W4392158458","https://openalex.org/W4392309314","https://openalex.org/W6743688258"],"related_works":["https://openalex.org/W1525031810","https://openalex.org/W2286365695","https://openalex.org/W4300783083","https://openalex.org/W2033590120","https://openalex.org/W2807007340","https://openalex.org/W2953240191","https://openalex.org/W59412712","https://openalex.org/W1871202614","https://openalex.org/W1983977522","https://openalex.org/W2056383477"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"has":[3],"been":[4],"considered":[5],"a":[6,50,70,98,115],"critical":[7],"technique":[8],"for":[9,60],"assisting":[10],"Unmanned":[11],"Aerial":[12],"Vehicle":[13],"(UAV)":[14],"swarm":[15,28,45,67,95],"to":[16,68,96,134,151],"efficiently":[17],"perform":[18],"tasks":[19],"in":[20,26,174],"dynamic":[21],"environments.":[22],"However,":[23],"deploying":[24],"FL":[25,58,72,92],"UAV":[27,44,61,66,86,94],"is":[29],"constrained":[30],"by":[31],"the":[32,36,39,90,119,161,168],"limited":[33],"energy":[34,76,103,179],"of":[35,85,118,155,176],"UAVs":[37],"and":[38,77,126,159,180],"complex":[40],"communication":[41],"environments":[42],"within":[43],"networks.":[46],"This":[47,63],"letter":[48],"introduces":[49],"leader":[51,143],"election-assisted":[52],"Spiking":[53],"Neural":[54],"Networks":[55],"(SNNs)-driven":[56],"decentralized":[57],"framework":[59,64],"swarm.":[62,87],"enables":[65],"train":[69,97],"high-performance":[71],"model":[73,100,156,162,177],"while":[74],"minimizing":[75],"time":[78,153,181],"consumption,":[79],"thereby":[80],"enhancing":[81],"real-time":[82],"decision":[83],"ability":[84],"In":[88],"particular,":[89],"SNN-driven":[91,124],"allows":[93],"shared":[99],"with":[101,123],"less":[102],"consumption":[104,154],"through":[105],"its":[106],"discrete":[107],"spike":[108],"event.":[109],"To":[110],"this":[111],"end,":[112],"we":[113,127,139],"conduct":[114],"systematic":[116],"analysis":[117],"training":[120],"challenges":[121],"associated":[122],"FL,":[125],"then":[128],"propose":[129],"an":[130,141],"approximate":[131],"derivative":[132],"algorithm":[133],"address":[135],"these":[136],"challenges.":[137],"Furthermore,":[138],"develop":[140],"intelligent":[142],"selection":[144],"scheme":[145,170],"based":[146],"on":[147],"Bayes":[148],"theorem":[149],"designed":[150],"reduce":[152],"parameter":[157],"transmission":[158],"accelerate":[160],"aggregation.":[163],"Simulation":[164],"results":[165],"show":[166],"that":[167],"proposed":[169],"outperforms":[171],"baseline":[172],"schemes":[173],"terms":[175],"performance,":[178],"consumption.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}