{"id":"https://openalex.org/W7116394340","doi":"https://doi.org/10.1145/3754598.3754618","title":"Heterogeneity-aware Federated Edge Learning via UAV Sampling and D2D Communications","display_name":"Heterogeneity-aware Federated Edge Learning via UAV Sampling and D2D Communications","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W7116394340","doi":"https://doi.org/10.1145/3754598.3754618"},"language":null,"primary_location":{"id":"doi:10.1145/3754598.3754618","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754618","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3754598.3754618","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120899479","display_name":"Yanfeng Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanfeng Lu","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0009-5399-2203","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120940127","display_name":"Tao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wu","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1344-835X","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090100409","display_name":"Chao Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chang","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4119-7933","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0001-6736-6566"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Wang","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6736-6566","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068861481","display_name":"Mingxing Ke","orcid":"https://orcid.org/0000-0003-3037-5324"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxing Ke","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-3037-5324","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120929313","display_name":"Jian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4487-8400","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5120899479"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69837651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"480","last_page":"489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.5371999740600586,"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":0.5371999740600586,"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":0.3172999918460846,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.029500000178813934,"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/base-station","display_name":"Base station","score":0.5412999987602234},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5299000144004822},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.503600001335144},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4494999945163727},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44839999079704285},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.41530001163482666},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4072999954223633},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.40310001373291016},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.383899986743927},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.37310001254081726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7493000030517578},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.5412999987602234},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5299000144004822},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.503600001335144},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4494999945163727},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44839999079704285},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.435699999332428},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4072999954223633},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.40310001373291016},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.35409998893737793},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3411000072956085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.336899995803833},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C73602740","wikidata":"https://www.wikidata.org/wiki/Q7795822","display_name":"Thompson sampling","level":3,"score":0.32679998874664307},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3192000091075897},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.26440000534057617},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3754598.3754618","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754618","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3754598.3754618","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754618","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th International Conference on Parallel Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8066324591636658,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2798720628","https://openalex.org/W2977090839","https://openalex.org/W3107100345","https://openalex.org/W3128646026","https://openalex.org/W3129329365","https://openalex.org/W3217610115","https://openalex.org/W4200234277","https://openalex.org/W4213191720","https://openalex.org/W4214758645","https://openalex.org/W4223954537","https://openalex.org/W4226183928","https://openalex.org/W4285504041","https://openalex.org/W4289546285","https://openalex.org/W4312950667","https://openalex.org/W4323670134","https://openalex.org/W4385801345","https://openalex.org/W4386260702","https://openalex.org/W4387105517","https://openalex.org/W4391428810"],"related_works":[],"abstract_inverted_index":{"Federated":[0],"learning":[1,8,17,54,97],"(FL),":[2],"as":[3,44],"an":[4],"emerging":[5],"distributed":[6,40],"machine":[7,16],"paradigm,":[9],"allows":[10],"multiple":[11],"participants":[12],"to":[13,84,129,155,174,190,253],"collaboratively":[14],"train":[15],"models":[18],"without":[19],"disclosing":[20],"raw":[21],"data.":[22],"The":[23,180],"high":[24],"mobility":[25],"and":[26,47,80,107,169,187,211,232,244],"flexibility":[27],"of":[28,63,120,146,241],"Unmanned":[29],"Aerial":[30],"Vehicles":[31],"(UAVs)":[32],"can":[33,216],"be":[34,217],"effectively":[35,218],"integrated":[36],"with":[37],"FL":[38],"for":[39,99,151,194,208],"intelligent":[41],"sensing,":[42],"such":[43],"disaster":[45],"response":[46],"agricultural":[48],"monitoring.":[49],"However,":[50],"existing":[51],"UAV-assisted":[52],"federated":[53,96],"approaches":[55],"rarely":[56],"take":[57],"into":[58],"account":[59],"the":[60,126,191,239,249],"unique":[61],"characteristics":[62],"large-scale":[64],"UAV":[65,100,105,154,209],"swarms,":[66],"which":[67,159],"often":[68],"encounter":[69],"two":[70],"critical":[71],"challenges:":[72],"biased":[73],"model":[74,172,242],"convergence":[75,200],"resulting":[76],"from":[77,140],"statistical":[78,131],"heterogeneity":[79],"inefficient":[81],"training":[82,168,250],"due":[83],"resource":[85],"constraints.":[86],"To":[87],"address":[88],"these":[89,185],"issues,":[90],"we":[91,202],"propose":[92],"FedUD,":[93],"a":[94,113,118,204,221],"novel":[95],"framework":[98],"networks":[101],"that":[102,235],"integrates":[103],"adaptive":[104],"sampling":[106,210],"device-to-device":[108],"(D2D)":[109],"communications.":[110,179,213],"FedUD":[111,236],"employs":[112],"two-tier":[114],"optimization":[115,206],"strategy:":[116],"(1)":[117],"set":[119,145],"leader":[121,153,175,181],"UAVs":[122,148,165,176,182],"is":[123,149],"sampled":[124],"by":[125],"base":[127,192],"station":[128,193],"maximize":[130],"representativeness":[132],"in":[133],"each":[134,152],"communication":[135,162],"round,":[136],"thereby":[137],"mitigating":[138],"bias":[139],"non-IID":[141],"data;":[142],"(2)":[143],"A":[144],"follower":[147],"selected":[150],"form":[156],"D2D":[157,178,212],"clusters,":[158],"helps":[160],"reduce":[161],"overhead.":[163],"Follower":[164],"conduct":[166],"local":[167],"transmit":[170],"their":[171],"updates":[173,186],"through":[177],"then":[183],"aggregate":[184],"forward":[188],"them":[189],"global":[195],"aggregation.":[196],"Based":[197],"on":[198,229],"theoretical":[199],"analysis,":[201],"formulate":[203],"joint":[205],"problem":[207,215],"This":[214],"solved":[219],"using":[220],"submodular":[222],"maximization-based":[223],"iterative":[224],"algorithm.":[225],"Extensive":[226],"experiments":[227],"conducted":[228],"physical":[230],"testbeds":[231],"simulations":[233],"demonstrate":[234],"significantly":[237],"enhances":[238],"stability":[240],"performance":[243],"reduces":[245],"system":[246],"latency":[247],"during":[248],"process":[251],"compared":[252],"benchmark":[254],"methods.":[255]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-21T00:00:00"}
