{"id":"https://openalex.org/W4416113949","doi":"https://doi.org/10.1109/jiot.2025.3631437","title":"Adaptive U-Shaped Split Federated Learning for Image Coding at Resource-Constrained UAV Network","display_name":"Adaptive U-Shaped Split Federated Learning for Image Coding at Resource-Constrained UAV Network","publication_year":2025,"publication_date":"2025-11-11","ids":{"openalex":"https://openalex.org/W4416113949","doi":"https://doi.org/10.1109/jiot.2025.3631437"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2025.3631437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3631437","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5089451617","display_name":"Qizheng Sun","orcid":"https://orcid.org/0000-0001-9359-6824"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qizheng Sun","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058648594","display_name":"Caili Guo","orcid":"https://orcid.org/0000-0001-8892-4520"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caili Guo","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397516","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-1353-0890"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering, Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075387306","display_name":"Chuanhong Liu","orcid":"https://orcid.org/0000-0001-9620-1816"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanhong Liu","raw_affiliation_strings":["Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102938911","display_name":"Lin Hu","orcid":"https://orcid.org/0009-0008-9444-3182"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Hu","raw_affiliation_strings":["China Telecom Digital Intelligence Technology Company Ltd., Beijing, China","China Telecom Digital Intelligence Technology Co., Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Telecom Digital Intelligence Technology Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210136246"]},{"raw_affiliation_string":"China Telecom Digital Intelligence Technology Co., Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089451617"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17885525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"4","first_page":"5569","last_page":"5582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.6263999938964844,"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":0.6263999938964844,"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":0.02810000069439411,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.02710000053048134,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6607999801635742},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6531999707221985},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5860000252723694},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43970000743865967},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4296000003814697},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4041000008583069},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3944000005722046},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.36169999837875366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8427000045776367},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6607999801635742},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6531999707221985},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5860000252723694},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43970000743865967},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3537999987602234},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.2915000021457672},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29100000858306885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28949999809265137},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28760001063346863},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25279998779296875},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3631437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3631437","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2665188711","display_name":null,"funder_award_id":"No.62371070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5448899510","display_name":null,"funder_award_id":"62371070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1540764732","https://openalex.org/W1580389772","https://openalex.org/W1967956032","https://openalex.org/W2052312065","https://openalex.org/W2056494578","https://openalex.org/W2741137940","https://openalex.org/W2963209930","https://openalex.org/W2963318081","https://openalex.org/W2981114133","https://openalex.org/W3018102029","https://openalex.org/W3089655738","https://openalex.org/W3090837869","https://openalex.org/W3160246415","https://openalex.org/W3175307072","https://openalex.org/W3202577926","https://openalex.org/W3213008925","https://openalex.org/W4285131538","https://openalex.org/W4298352247","https://openalex.org/W4310077675","https://openalex.org/W4317419007","https://openalex.org/W4319663787","https://openalex.org/W4319778953","https://openalex.org/W4360993089","https://openalex.org/W4366957234","https://openalex.org/W4372348936","https://openalex.org/W4381785874","https://openalex.org/W4382318985","https://openalex.org/W4386145098","https://openalex.org/W4386883045","https://openalex.org/W4388083471","https://openalex.org/W4388676601","https://openalex.org/W4391248691","https://openalex.org/W4391341749","https://openalex.org/W4392663354","https://openalex.org/W4396878072"],"related_works":[],"abstract_inverted_index":{"U-shaped":[0],"Split":[1],"Federated":[2],"Learning":[3],"(U-SFL)":[4],"has":[5],"been":[6],"widely":[7],"applied":[8],"in":[9,130,169],"image":[10],"coding,":[11],"as":[12],"it":[13],"can":[14,62],"effectively":[15],"balance":[16],"parallel":[17],"training,":[18],"model":[19,43,47],"privacy,":[20],"and":[21,37,41,46,59,83,91,107,112,152],"local":[22],"computational":[23,60,90],"cost.":[24],"The":[25],"performance":[26],"of":[27,34,110],"U-SFL":[28,65,75],"largely":[29],"depends":[30],"on":[31,87,115,157],"the":[32,38,88,105,131,144],"selection":[33],"split":[35],"points":[36],"aggregation":[39,48],"frequency,":[40],"thus,":[42],"splitting":[44],"(MS)":[45],"(MA)":[49],"strategies":[50,85,114],"are":[51],"critical.":[52],"In":[53],"UAV":[54],"scenarios,":[55],"fluctuating":[56],"communication":[57,92],"links":[58],"resources":[61],"significantly":[63],"impact":[64],"performance.":[66],"To":[67],"address":[68],"this":[69],"challenge,":[70],"we":[71,95,119],"propose":[72],"a":[73,98,165],"resource-adaptive":[74],"(AU-SFL)":[76],"framework,":[77],"which":[78,146],"adaptively":[79],"selects":[80],"optimal":[81],"MS":[82,111],"MA":[84,113],"based":[86],"available":[89],"resources.":[93],"Specifically,":[94],"first":[96],"conduct":[97],"theoretical":[99,132],"convergence":[100,116,133,170],"analysis":[101],"that":[102,162],"systematically":[103],"quantifies":[104],"individual":[106],"joint":[108],"impacts":[109],"behavior.":[117],"Then,":[118],"formulate":[120],"an":[121,136],"optimization":[122,185],"problem":[123],"aimed":[124],"at":[125],"minimizing":[126],"training":[127],"latency,":[128],"grounded":[129],"analysis.":[134],"Subsequently,":[135],"alternating":[137],"MS-MA":[138],"algorithm":[139],"is":[140,147],"proposed":[141],"to":[142],"solve":[143],"problem,":[145],"decomposed":[148],"into":[149],"two":[150],"subproblems":[151],"solved":[153],"alternatively.":[154],"Extensive":[155],"experiments":[156],"multiple":[158],"benchmark":[159],"datasets":[160],"demonstrate":[161],"AU-SFL":[163],"achieves":[164],"1.61":[166],"times":[167],"reduction":[168],"time":[171],"while":[172],"improving":[173],"multi-scale":[174],"structural":[175],"similarity":[176],"index":[177],"(MS-SSIM)":[178],"by":[179],"4.4%,":[180],"conclusively":[181],"validating":[182],"our":[183],"adaptive":[184],"strategy\u2019s":[186],"effectiveness.":[187]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-11T00:00:00"}