{"id":"https://openalex.org/W4404034892","doi":"https://doi.org/10.1145/3666025.3699346","title":"FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management","display_name":"FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management","publication_year":2024,"publication_date":"2024-11-04","ids":{"openalex":"https://openalex.org/W4404034892","doi":"https://doi.org/10.1145/3666025.3699346"},"language":"en","primary_location":{"id":"doi:10.1145/3666025.3699346","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3666025.3699346","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3666025.3699346","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3666025.3699346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053448652","display_name":"Kahou Tam","orcid":"https://orcid.org/0000-0001-5816-6837"},"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, Macau, Macao"],"raw_orcid":"https://orcid.org/0000-0001-5816-6837","affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Macau, Macao","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114060150","display_name":"Chunlin Tian","orcid":"https://orcid.org/0009-0009-5220-1609"},"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":["State Key Laboratory of IoTSC, University of Macau, Macau, Macau"],"raw_orcid":"https://orcid.org/0009-0009-5220-1609","affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Macau, Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032580866","display_name":"Li Li","orcid":"https://orcid.org/0000-0002-2044-8289"},"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, Macau, Macao"],"raw_orcid":"https://orcid.org/0000-0002-2044-8289","affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Macau, Macao","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haikai Zhao","orcid":"https://orcid.org/0009-0001-3830-4275"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Haikai Zhao","raw_affiliation_strings":["Simon Fraser University, Vancouver, CA"],"raw_orcid":"https://orcid.org/0009-0001-3830-4275","affiliations":[{"raw_affiliation_string":"Simon Fraser University, Vancouver, CA","institution_ids":["https://openalex.org/I18014758"]}]},{"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":"ChengZhong Xu","raw_affiliation_strings":["State Key Laboratory of IoTSC, University of Macau, Macau, Macau"],"raw_orcid":"https://orcid.org/0000-0001-9480-0356","affiliations":[{"raw_affiliation_string":"State Key Laboratory of IoTSC, University of Macau, Macau, Macau","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.282,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63970291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"394","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9997000098228455,"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":0.9997000098228455,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9977999925613403,"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":0.6807553172111511},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5428838729858398},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.49754050374031067},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42569804191589355},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.25434815883636475},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.08515864610671997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08036702871322632},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06587743759155273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807553172111511},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5428838729858398},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.49754050374031067},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42569804191589355},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.25434815883636475},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.08515864610671997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08036702871322632},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06587743759155273}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3666025.3699346","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3666025.3699346","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3666025.3699346","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.11400","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.11400","pdf_url":"https://arxiv.org/pdf/2510.11400","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3666025.3699346","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3666025.3699346","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3666025.3699346","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311133","display_name":"United Mitochondrial Disease Foundation","ror":"https://ror.org/0528q0t18"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404034892.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2121746381","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2997842691","https://openalex.org/W3011060921","https://openalex.org/W3012479151","https://openalex.org/W3012514909","https://openalex.org/W3043802286","https://openalex.org/W3134509799","https://openalex.org/W3162750187","https://openalex.org/W3185191462","https://openalex.org/W3210103168","https://openalex.org/W3214578629","https://openalex.org/W4282960063","https://openalex.org/W4282974189","https://openalex.org/W4283032505","https://openalex.org/W4287322665","https://openalex.org/W4288083516","https://openalex.org/W4301361180","https://openalex.org/W4306178637","https://openalex.org/W4310822417","https://openalex.org/W4366341968"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","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"],"abstract_inverted_index":{"Federated":[0],"Learning":[1],"(FL)":[2],"emerges":[3],"as":[4],"a":[5,16,46,123,149,186,193],"new":[6],"learning":[7],"paradigm":[8],"that":[9,29,49,181],"enables":[10],"multiple":[11],"devices":[12,37,75],"to":[13,110,131,154,167,185],"collaboratively":[14],"train":[15],"shared":[17],"model":[18,62,190],"while":[19,59,116],"preserving":[20],"data":[21,89],"privacy.":[22],"However,":[23],"one":[24],"fundamental":[25],"and":[26,64,88,99,127,173,192],"prevailing":[27],"challenge":[28],"hinders":[30],"the":[31,39,52,56,61,65,73,96,112,118,132,138,145,206],"deployment":[32],"of":[33,125,134],"FL":[34],"on":[35,170],"mobile":[36,175],"is":[38],"memory":[40,53,84,114,157,202],"limitation.":[41],"This":[42],"paper":[43],"proposes":[44],"FedHybrid,":[45],"novel":[47],"framework":[48],"effectively":[50,155],"reduces":[51],"footprint":[54],"during":[55],"training":[57,67,78,119,140],"process":[58],"guaranteeing":[60],"accuracy":[63,161,191],"overall":[66],"progress.":[68],"Specifically,":[69],"FedHybrid":[70,142,169,182],"first":[71],"selects":[72],"participating":[74],"for":[76,104],"each":[77,105,135],"round":[79],"by":[80],"jointly":[81],"evaluating":[82],"their":[83],"budget,":[85],"computing":[86],"capability,":[87],"diversity.":[90],"After":[91],"that,":[92],"it":[93],"judiciously":[94],"analyzes":[95],"computational":[97],"graph":[98],"generates":[100],"an":[101],"execution":[102,146],"plan":[103,147],"selected":[106],"client":[107],"in":[108,189,196],"order":[109],"meet":[111],"corresponding":[113],"budget":[115],"minimizing":[117],"delay":[120],"through":[121],"employing":[122],"hybrid":[124],"recomputation":[126],"compression":[128,152],"techniques":[129],"according":[130],"characteristic":[133],"tensor.":[136],"During":[137],"local":[139],"process,":[141],"carries":[143],"out":[144],"with":[148,159,205],"well-designed":[150],"activation":[151],"technique":[153],"achieve":[156],"reduction":[158,195],"minimum":[160],"loss.":[162],"We":[163],"conduct":[164],"extensive":[165],"experiments":[166],"evaluate":[168],"both":[171],"simulation":[172],"off-the-shelf":[174],"devices.":[176],"The":[177],"experiment":[178],"results":[179],"demonstrate":[180],"achieves":[183],"up":[184],"39.1%":[187],"increase":[188],"15.5X":[194],"wall":[197],"clock":[198],"time":[199],"under":[200],"various":[201],"budgets":[203],"compared":[204],"baselines.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}