{"id":"https://openalex.org/W4386867879","doi":"https://doi.org/10.1109/icws60048.2023.00046","title":"ASPFL: Efficient Personalized Federated Learning for Edge Based on Adaptive Sparse Training","display_name":"ASPFL: Efficient Personalized Federated Learning for Edge Based on Adaptive Sparse Training","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4386867879","doi":"https://doi.org/10.1109/icws60048.2023.00046"},"language":"en","primary_location":{"id":"doi:10.1109/icws60048.2023.00046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icws60048.2023.00046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Web Services (ICWS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101710174","display_name":"Yuhui Jiang","orcid":"https://orcid.org/0000-0001-6794-3968"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Jiang","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China","School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101773230","display_name":"Xingjian Lu","orcid":"https://orcid.org/0000-0002-6935-5614"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingjian Lu","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China","School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021451719","display_name":"Haikun Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haikun Zheng","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China","School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031265302","display_name":"Wei Mao","orcid":"https://orcid.org/0000-0003-2150-3136"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Mao","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China","School of Computer Science and Technology, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"School of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":1.0778,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79622769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"269","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9415000081062317,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8547644019126892},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6939355731010437},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6871088147163391},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6680060625076294},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6431988477706909},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5763964653015137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.568774402141571},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5613982081413269},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5321537256240845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.515289306640625},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47269773483276367},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4516351819038391}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8547644019126892},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6939355731010437},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6871088147163391},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6680060625076294},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6431988477706909},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5763964653015137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.568774402141571},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5613982081413269},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5321537256240845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.515289306640625},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47269773483276367},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4516351819038391},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icws60048.2023.00046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icws60048.2023.00046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Web Services (ICWS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W2119144962","https://openalex.org/W2145085734","https://openalex.org/W2416799949","https://openalex.org/W2764043458","https://openalex.org/W2805003733","https://openalex.org/W2894740066","https://openalex.org/W2896409484","https://openalex.org/W2897711745","https://openalex.org/W2956434358","https://openalex.org/W2962788286","https://openalex.org/W2962851801","https://openalex.org/W2990844796","https://openalex.org/W3005776401","https://openalex.org/W3005842225","https://openalex.org/W3035453001","https://openalex.org/W3038022836","https://openalex.org/W3080934299","https://openalex.org/W3089578458","https://openalex.org/W3093755649","https://openalex.org/W3099314130","https://openalex.org/W3104688113","https://openalex.org/W3133814152","https://openalex.org/W3155963862","https://openalex.org/W3171463583","https://openalex.org/W3203587904","https://openalex.org/W3210103168","https://openalex.org/W3213815372","https://openalex.org/W3214721897","https://openalex.org/W4225796852","https://openalex.org/W4285876308","https://openalex.org/W4287647398","https://openalex.org/W4287906413","https://openalex.org/W4290994050","https://openalex.org/W4297689207","https://openalex.org/W4318619660","https://openalex.org/W4320167271","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6728757088","https://openalex.org/W6736780897","https://openalex.org/W6745148473","https://openalex.org/W6751979845","https://openalex.org/W6755166560","https://openalex.org/W6755843862","https://openalex.org/W6759238902","https://openalex.org/W6765532259","https://openalex.org/W6770699648","https://openalex.org/W6772027524","https://openalex.org/W6772318479","https://openalex.org/W6773813173","https://openalex.org/W6779269186","https://openalex.org/W6779460946","https://openalex.org/W6780224944","https://openalex.org/W6784048413","https://openalex.org/W6784336702","https://openalex.org/W6790034021","https://openalex.org/W6790057022","https://openalex.org/W6849918048"],"related_works":["https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W3111395152","https://openalex.org/W4386004629","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"One":[0],"of":[1,13,43,68,77,153,168],"the":[2,132,148,165],"primary":[3],"challenges":[4],"in":[5,49,126,180,186],"cloud-edge":[6,127],"environments":[7],"is":[8,34],"efficiently":[9],"utilizing":[10],"significant":[11],"amounts":[12],"data":[14,47,84],"on":[15,60,71],"edge":[16,73],"devices":[17],"for":[18,112],"machine":[19,36],"learning":[20,37,56,87,115],"tasks,":[21],"enabling":[22],"adaptation":[23],"to":[24,116,139,157,159],"increasingly":[25],"complex":[26],"computing":[27],"and":[28,123,163,183],"service":[29],"scenarios.":[30],"Federated":[31,79],"Learning":[32,80],"(FL)":[33],"a":[35,50,88,136],"paradigm":[38],"that":[39,175],"enables":[40],"collaborative":[41],"training":[42,111,156],"models":[44],"involving":[45],"multiple":[46],"warehouses":[48],"privacy-preserving":[51],"manner.":[52],"However,":[53],"classical":[54],"federated":[55,114],"has":[57],"poor":[58],"convergence":[59,184],"highly":[61],"heterogeneous":[62,161],"data,":[63],"which":[64,107],"limits":[65],"its":[66],"performance":[67,119],"global":[69,137],"model":[70,90,118],"each":[72],"device.":[74],"The":[75,170],"emergence":[76],"Personalized":[78],"(PFL)":[81],"effectively":[82],"alleviates":[83],"heterogeneity,":[85],"but":[86],"personalized":[89,113],"may":[91],"incur":[92],"greater":[93],"overheads.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"propose":[99],"an":[100],"efficient":[101],"FL":[102],"framework":[103],"named":[104],"as":[105],"ASPFL,":[106],"uses":[108],"dynamic":[109,133],"sparse":[110,141,155],"maintain":[117],"while":[120],"reducing":[121],"computational":[122],"communication":[124],"overheads":[125],"environments.":[128],"By":[129],"adaptively":[130],"allocating":[131],"sparsity":[134],"from":[135],"perspective":[138],"explore":[140],"network":[142],"structure":[143],"during":[144],"training,":[145],"ASPFL":[146,176],"improves":[147],"independent":[149],"parameter":[150],"exploration":[151],"process":[152],"local":[154],"adapt":[158],"various":[160],"situations":[162],"solves":[164],"Non-IID":[166],"challenge":[167],"FL.":[169],"abundant":[171],"experimental":[172],"results":[173],"show":[174],"outperforms":[177],"state-of-the-art":[178],"methods":[179],"performance,":[181],"overheads,":[182],"speed":[185],"PFL.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}