{"id":"https://openalex.org/W4403390372","doi":"https://doi.org/10.1109/tpds.2024.3480115","title":"Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting","display_name":"Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting","publication_year":2024,"publication_date":"2024-10-14","ids":{"openalex":"https://openalex.org/W4403390372","doi":"https://doi.org/10.1109/tpds.2024.3480115"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2024.3480115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2024.3480115","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Transactions on Parallel and Distributed Systems","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/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":true,"raw_author_name":"Chunlin Tian","raw_affiliation_strings":["State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361096","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-1047-6067"},"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":["State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111579861","display_name":"Kenway W. Tam","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":false,"raw_author_name":"Kahou Tam","raw_affiliation_strings":["State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059582113","display_name":"Yebo 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":false,"raw_author_name":"Yebo Wu","raw_affiliation_strings":["State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"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":["State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Taipa, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002237286"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":1.3964,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84813431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"12","first_page":"2513","last_page":"2526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9965999722480774,"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":0.9965999722480774,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9569000005722046,"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":0.9340999722480774,"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":0.7981538772583008},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4272739589214325},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4258680045604706},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3272780776023865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7981538772583008},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4272739589214325},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4258680045604706},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3272780776023865}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2024.3480115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2024.3480115","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"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 Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W2026653933","https://openalex.org/W2033178790","https://openalex.org/W2064675550","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2142402086","https://openalex.org/W2194775991","https://openalex.org/W2489529491","https://openalex.org/W2535838896","https://openalex.org/W2565516711","https://openalex.org/W2618530766","https://openalex.org/W2977090839","https://openalex.org/W2991040477","https://openalex.org/W3012479151","https://openalex.org/W3012514909","https://openalex.org/W3018102029","https://openalex.org/W3037871107","https://openalex.org/W3042621011","https://openalex.org/W3045889854","https://openalex.org/W3102626224","https://openalex.org/W3105915864","https://openalex.org/W3154335119","https://openalex.org/W3176639943","https://openalex.org/W3182828306","https://openalex.org/W3205803342","https://openalex.org/W3211848727","https://openalex.org/W3215108846","https://openalex.org/W4282960063","https://openalex.org/W4282974189","https://openalex.org/W4283032505","https://openalex.org/W4285503969","https://openalex.org/W4296982580","https://openalex.org/W4301361180","https://openalex.org/W4308083749","https://openalex.org/W4312038641","https://openalex.org/W4312323164","https://openalex.org/W4385194719","https://openalex.org/W4385245566","https://openalex.org/W4387185237","https://openalex.org/W4401023724","https://openalex.org/W4402896870","https://openalex.org/W4402896938","https://openalex.org/W4402897278","https://openalex.org/W4409150121","https://openalex.org/W6607826182","https://openalex.org/W6637373629","https://openalex.org/W6703652217","https://openalex.org/W6727099177","https://openalex.org/W6728757088","https://openalex.org/W6745245109","https://openalex.org/W6745722055","https://openalex.org/W6746720608","https://openalex.org/W6753146606","https://openalex.org/W6755207826","https://openalex.org/W6762407294","https://openalex.org/W6766978945","https://openalex.org/W6768234139","https://openalex.org/W6782317661","https://openalex.org/W6787972765","https://openalex.org/W6790034021","https://openalex.org/W6795916790","https://openalex.org/W6803118286","https://openalex.org/W6805406045","https://openalex.org/W6838539104","https://openalex.org/W6839700459","https://openalex.org/W6852467061"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"enables":[3],"multiple":[4],"devices":[5,27,128],"to":[6,106,157,199,239,258],"collaboratively":[7],"train":[8],"a":[9,38,70,103,240],"shared":[10],"model":[11,17,88,94,161],"while":[12,47,82,195],"preserving":[13],"data":[14,143],"privacy.":[15],"Ever-increasing":[16],"complexity":[18],"coupled":[19],"with":[20],"limited":[21],"memory":[22,45,76,138,204,247,260],"resources":[23],"on":[24,78,121,176,208,213,232],"the":[25,30,44,52,75,79,84,109,117,122,126,131,137,153,159,166,172,177,191,201],"participating":[26,127],"severely":[28],"bottlenecks":[29],"deployment":[31],"of":[32,145,165],"FL":[33,58,92,230],"in":[34,57,229],"real-world":[35],"scenarios.":[36],"Thus,":[37],"framework":[39,71],"that":[40,72,224],"can":[41],"effectively":[42,73],"break":[43],"wall":[46],"jointly":[48,135],"taking":[49],"into":[50],"account":[51],"hardware":[53],"and":[54,87,129,142,162,245,255],"statistical":[55,179],"heterogeneity":[56],"is":[59],"urgently":[60],"required.":[61],"In":[62,113],"this":[63,97],"article,":[64],"we":[65],"propose":[66],"<italic":[67,99,225],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[68,100,226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">SmartSplit</i>":[69,101,227],"reduces":[74],"footprint":[77],"device":[80,218],"side":[81],"guaranteeing":[83],"training":[85,111,115,140,164,193,231],"progress":[86],"accuracy":[89,251],"for":[90],"heterogeneous":[91],"through":[93,262],"splitting.":[95],"Towards":[96],"end,":[98],"employs":[102],"hierarchical":[104],"structure":[105],"adaptively":[107,256],"guide":[108],"overall":[110],"process.":[112],"each":[114,146,186],"round,":[116],"central":[118],"manager,":[119,150,183],"hosted":[120],"server,":[123,155],"dynamically":[124],"selects":[125],"sets":[130],"cutting":[132],"layer":[133],"by":[134,253],"considering":[136],"budget,":[139],"capacity,":[141],"distribution":[144],"device.":[147],"The":[148,181,220],"MEC":[149],"deployed":[151],"within":[152],"edge":[154],"proceeds":[156],"split":[158],"local":[160,192],"perform":[163],"server-side":[167],"portion.":[168],"Meanwhile,":[169],"it":[170],"fine-tunes":[171],"splitting":[173],"points":[174],"based":[175],"time-evolving":[178],"importance.":[180],"on-device":[182],"embedded":[184],"inside":[185],"mobile":[187,217,235],"device,":[188],"continuously":[189],"monitors":[190],"status":[194],"employing":[196],"cost-aware":[197,263],"checkpointing":[198],"match":[200],"runtime":[202],"dynamic":[203,259],"budget.":[205],"Extensive":[206],"experiments":[207],"representative":[209],"datasets":[210],"are":[211],"conducted":[212],"both":[214],"commercial":[215],"off-the-shelf":[216],"testbeds.":[219],"experimental":[221],"results":[222],"show":[223],"excels":[228],"highly":[233],"memory-constrained":[234],"SoCs,":[236],"offering":[237],"up":[238],"94%":[241],"peak":[242],"latency":[243],"reduction":[244],"100-fold":[246],"savings.":[248],"It":[249],"enhances":[250],"performance":[252],"1.49%-57.18%":[254],"adjusts":[257],"budgets":[261],"recomputation":[264]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
