{"id":"https://openalex.org/W4415245324","doi":"https://doi.org/10.1186/s13638-025-02511-7","title":"A federated meta-learning aided intelligent edge framework by using the parameter optimization approach","display_name":"A federated meta-learning aided intelligent edge framework by using the parameter optimization approach","publication_year":2025,"publication_date":"2025-10-15","ids":{"openalex":"https://openalex.org/W4415245324","doi":"https://doi.org/10.1186/s13638-025-02511-7"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-025-02511-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-025-02511-7","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-025-02511-7","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-025-02511-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020168805","display_name":"Zhu Xiaofeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109434","display_name":"Xinyu University","ror":"https://ror.org/021xwcd05","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Xiaofeng","raw_affiliation_strings":["School of Mechatronics Engineering, Xinyu Key Laboratory of Power System and Intelligent Control, Xinyu University, 338004, Xinyu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Xinyu Key Laboratory of Power System and Intelligent Control, Xinyu University, 338004, Xinyu, China","institution_ids":["https://openalex.org/I4210109434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120023375","display_name":"Fan Qiaosong","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Qiaosong","raw_affiliation_strings":["Shien-ming Wu School of Intelligent Engineering, South China University of Technology, 510641, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shien-ming Wu School of Intelligent Engineering, South China University of Technology, 510641, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110959323","display_name":"Jiaqiang Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109434","display_name":"Xinyu University","ror":"https://ror.org/021xwcd05","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Jiaqiang","raw_affiliation_strings":["School of Mechatronics Engineering, Xinyu Key Laboratory of Power System and Intelligent Control, Xinyu University, 338004, Xinyu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Xinyu Key Laboratory of Power System and Intelligent Control, Xinyu University, 338004, Xinyu, China","institution_ids":["https://openalex.org/I4210109434"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qian Yuwen","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Yuwen","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, 210094, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11016226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998000264167786,"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":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9786999821662903,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7419000267982483},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.7232999801635742},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6362000107765198},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6172000169754028},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.49470001459121704},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4607999920845032},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.41780000925064087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.906499981880188},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7419000267982483},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.7232999801635742},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6362000107765198},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6172000169754028},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5055999755859375},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27320000529289246},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26930001378059387},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13638-025-02511-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-025-02511-7","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-025-02511-7","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cfa5c1405a624a1dadd9f17ee396f55e","is_oa":true,"landing_page_url":"https://doaj.org/article/cfa5c1405a624a1dadd9f17ee396f55e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking, Vol 2025, Iss 1, Pp 1-25 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-025-02511-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-025-02511-7","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13638-025-02511-7","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320336627","display_name":"Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415245324.pdf","grobid_xml":"https://content.openalex.org/works/W4415245324.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2123399796","https://openalex.org/W2887783173","https://openalex.org/W2942231644","https://openalex.org/W2963318081","https://openalex.org/W3021654819","https://openalex.org/W3045747588","https://openalex.org/W3088199650","https://openalex.org/W3093655779","https://openalex.org/W3135231128","https://openalex.org/W4287884178","https://openalex.org/W4361990680","https://openalex.org/W4376606811","https://openalex.org/W4386918966","https://openalex.org/W4396782851","https://openalex.org/W4400277649","https://openalex.org/W4402401619","https://openalex.org/W4406660328","https://openalex.org/W4407951043","https://openalex.org/W4409634917"],"related_works":[],"abstract_inverted_index":{"Edge":[0],"intelligence":[1],"can":[2,141],"enable":[3],"fast":[4],"intelligent":[5,16,29],"services":[6],"by":[7,108],"integrating":[8],"edge":[9,34,64,70,74,97,101],"computing":[10],"with":[11,60],"machine":[12],"learning,":[13],"thereby":[14,103],"facilitating":[15],"information":[17,44],"processing":[18,31,56],"for":[19],"Internet":[20],"of":[21,42,114,126],"Things":[22],"(IoT)":[23],"devices":[24,38,72,99],"on":[25],"the":[26,33,40,112,115,124,127,134],"edge.":[27],"However,":[28],"data":[30,55],"at":[32],"may":[35],"expose":[36],"IoT":[37,65,71,98],"to":[39,58],"risk":[41],"private":[43],"leakage.":[45],"To":[46,82],"mitigate":[47],"this":[48,84],"issue,":[49],"we":[50,86],"propose":[51,87],"a":[52,88],"federated":[53,77,116],"meta-learning-aided":[54],"framework":[57],"cope":[59],"complex":[61],"tasks":[62],"in":[63,76],"networks.":[66],"Unfortunately,":[67],"communications":[68],"between":[69,96],"and":[73,100],"servers":[75],"frameworks":[78],"incur":[79],"significant":[80],"overhead.":[81],"address":[83],"challenge,":[85],"parameter":[89,109],"optimization":[90,139],"algorithm":[91,140],"that":[92,133],"alleviates":[93],"communication":[94,144],"costs":[95],"servers,":[102],"reducing":[104],"classification":[105],"errors":[106],"induced":[107],"optimization.":[110],"Moreover,":[111],"convergence":[113],"meta-learning":[117],"method":[118],"is":[119],"derived,":[120],"which":[121],"theoretically":[122],"confirms":[123],"feasibility":[125],"proposed":[128],"approach.":[129],"Simulation":[130],"results":[131],"demonstrate":[132],"error":[135],"minimization-based":[136],"quantization":[137],"compression":[138],"substantially":[142],"enhance":[143],"efficiency":[145],"while":[146],"incurring":[147],"only":[148],"negligible":[149],"precision":[150],"losses.":[151]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-16T00:00:00"}