{"id":"https://openalex.org/W4402897278","doi":"https://doi.org/10.1109/iwqos61813.2024.10682916","title":"Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing","display_name":"Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4402897278","doi":"https://doi.org/10.1109/iwqos61813.2024.10682916"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos61813.2024.10682916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos61813.2024.10682916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-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/A5103977634","display_name":"Y. C. Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Yebo Wu","raw_affiliation_strings":["University of Macau,State Key Lab of IoTSC"],"affiliations":[{"raw_affiliation_string":"University of Macau,State Key Lab of IoTSC","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361403","display_name":"Li Li","orcid":"https://orcid.org/0000-0003-4269-4197"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["University of Macau,State Key Lab of IoTSC"],"affiliations":[{"raw_affiliation_string":"University of Macau,State Key Lab of IoTSC","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002237286","display_name":"Chunlin Tian","orcid":"https://orcid.org/0000-0002-1401-2032"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chunlin Tian","raw_affiliation_strings":["University of Macau,State Key Lab of IoTSC"],"affiliations":[{"raw_affiliation_string":"University of Macau,State Key Lab of IoTSC","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088631540","display_name":"Tao Chang","orcid":"https://orcid.org/0000-0002-3572-2877"},"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 Chang","raw_affiliation_strings":["National University of Defense Technology,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014651715","display_name":"Chi Lin","orcid":"https://orcid.org/0000-0002-0302-5102"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Lin","raw_affiliation_strings":["Dalian University of Technology,China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390460","display_name":"Cong Wang","orcid":"https://orcid.org/0009-0006-8197-0405"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["Zhejiang University,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012773300","display_name":"Chengzhong Xu","orcid":"https://orcid.org/0000-0001-9480-0356"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Cheng-Zhong Xu","raw_affiliation_strings":["University of Macau,State Key Lab of IoTSC"],"affiliations":[{"raw_affiliation_string":"University of Macau,State Key Lab of IoTSC","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103977634"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":2.9096,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92133845,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9865000247955322,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9865000247955322,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9824000000953674,"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/T10237","display_name":"Cryptography and Data Security","score":0.958299994468689,"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/computer-science","display_name":"Computer science","score":0.7685798406600952},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.669528603553772},{"id":"https://openalex.org/keywords/non-volatile-memory","display_name":"Non-volatile memory","score":0.44640278816223145},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.145344078540802},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11055684089660645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685798406600952},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.669528603553772},{"id":"https://openalex.org/C177950962","wikidata":"https://www.wikidata.org/wiki/Q10997658","display_name":"Non-volatile memory","level":2,"score":0.44640278816223145},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.145344078540802},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11055684089660645},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos61813.2024.10682916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos61813.2024.10682916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2131681506","https://openalex.org/W2194775991","https://openalex.org/W3012479151","https://openalex.org/W3037871107","https://openalex.org/W3203336515","https://openalex.org/W3206758449","https://openalex.org/W4221156340","https://openalex.org/W4282960063","https://openalex.org/W4282974189","https://openalex.org/W4285503969","https://openalex.org/W4292972772","https://openalex.org/W4308083749","https://openalex.org/W4311080353","https://openalex.org/W4312702379","https://openalex.org/W4372260356","https://openalex.org/W4380925616","https://openalex.org/W4387227688","https://openalex.org/W6638523607","https://openalex.org/W6727208969","https://openalex.org/W6728757088","https://openalex.org/W6756718674","https://openalex.org/W6761472960","https://openalex.org/W6768632158","https://openalex.org/W6783533280","https://openalex.org/W6795916790","https://openalex.org/W6855046117","https://openalex.org/W6865335653"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"emerges":[3],"as":[4],"a":[5,16,45,70,83,105,117,185,189],"new":[6],"learning":[7],"paradigm":[8],"that":[9,47,72,260],"enables":[10],"multiple":[11],"devices":[12,40,221],"to":[13,197,222,245,269,280,288],"collaboratively":[14],"train":[15],"shared":[17,99],"model":[18,59,91,100,141,276],"while":[19,54,214],"preserving":[20],"data":[21],"privacy.":[22],"However,":[23],"intensive":[24],"memory":[25,52,76,159,234,265],"footprint":[26,53,77],"during":[27],"the":[28,33,51,75,80,89,98,113,129,132,139,149,153,157,163,173,180,200,215,219,225,233,236,247,275,284],"training":[29,56,81,94,130,175,201,226,285],"process":[30,136,286],"severely":[31],"bottlenecks":[32],"deployment":[34],"of":[35,87,104,108,131,152,179,203,249],"FL":[36],"on":[37,251],"resource-limited":[38],"mobile":[39],"in":[41,82,92,224],"real-world":[42],"cases.":[43],"Thus,":[44],"framework":[46,71],"can":[48],"effectively":[49,73,169,198,262],"reduce":[50],"guaranteeing":[55],"efficiency":[57],"and":[58,126,156,166,188,208,238,254,282],"accuracy":[60,277],"is":[61,195],"crucial":[62],"for":[63,161,172,227],"FL.In":[64],"this":[65,147],"paper,":[66],"we":[67],"propose":[68],"SmartFreeze,":[69],"reduces":[74,263],"by":[78,230,267,278],"conducting":[79],"progressive":[84,174],"manner.":[85],"Instead":[86],"updating":[88],"full":[90],"each":[93,204,228],"round,":[95],"SmartFreeze":[96,177,250,261],"divides":[97],"into":[101],"blocks":[102,155],"consisting":[103],"specified":[106],"number":[107],"layers.":[109],"It":[110],"first":[111],"trains":[112],"front":[114],"block":[115,205,229],"with":[116],"well-designed":[118],"output":[119],"module,":[120],"safely":[121,209],"freezes":[122,210],"it":[123,272],"after":[124,212],"convergence,":[125],"then":[127],"triggers":[128],"next":[133],"one.":[134],"This":[135],"iterates":[137],"until":[138],"whole":[140],"has":[142],"been":[143],"successfully":[144],"trained.":[145],"In":[146],"way,":[148],"backward":[150],"computation":[151],"frozen":[154],"corresponding":[158],"space":[160],"storing":[162],"intermediate":[164],"outputs":[165],"gradients":[167],"are":[168,243],"saved.":[170],"Except":[171],"framework,":[176],"consists":[178],"following":[181],"two":[182],"core":[183],"components:":[184],"pace":[186,193],"controller":[187,194],"participant":[190,216],"selector.":[191],"The":[192,257],"designed":[196],"monitor":[199],"progress":[202],"at":[206],"runtime":[207],"them":[211],"convergence":[213],"selector":[217],"selects":[218],"right":[220],"participate":[223],"jointly":[231],"considering":[232],"capacity,":[235],"statistical":[237],"system":[239],"heterogeneity.":[240],"Extensive":[241],"experiments":[242],"conducted":[244],"evaluate":[246],"effectiveness":[248],"both":[252],"simulation":[253],"hardware":[255],"testbeds.":[256],"results":[258],"demonstrate":[259],"average":[264],"usage":[266],"up":[268,279,287],"82%.":[270],"Moreover,":[271],"simultaneously":[273],"improves":[274],"83.1%":[281],"accelerates":[283],"2.02":[289],"\u00d7.":[290]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}