{"id":"https://openalex.org/W4389109085","doi":"https://doi.org/10.1145/3630048.3630183","title":"Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones","display_name":"Flamingo: A User-Centric System for Fast and Energy-Efficient DNN Training on Smartphones","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389109085","doi":"https://doi.org/10.1145/3630048.3630183"},"language":"en","primary_location":{"id":"doi:10.1145/3630048.3630183","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3630048.3630183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Workshop on Distributed Machine Learning","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/A5080527236","display_name":"Sanjay Sri Vallabh Singapuram","orcid":"https://orcid.org/0000-0002-8688-1843"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjay Sri Vallabh Singapuram","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-8688-1843","affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044119432","display_name":"Chuheng Hu","orcid":"https://orcid.org/0009-0006-8902-4229"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuheng Hu","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0009-0006-8902-4229","affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101622777","display_name":"Fan Lai","orcid":"https://orcid.org/0009-0005-0472-107X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Lai","raw_affiliation_strings":["University of Illinois Urbana-Champaign, Urbana-Champaign, IL, USA"],"raw_orcid":"https://orcid.org/0009-0005-0472-107X","affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012951201","display_name":"Chengsong Zhang","orcid":"https://orcid.org/0009-0008-2120-1879"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengsong Zhang","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0009-0008-2120-1879","affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013180923","display_name":"Mosharaf Chowdhury","orcid":"https://orcid.org/0000-0003-0884-6740"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mosharaf Chowdhury","raw_affiliation_strings":["University of Michigan - Ann Arbor, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0003-0884-6740","affiliations":[{"raw_affiliation_string":"University of Michigan - Ann Arbor, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19063678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T13553","display_name":"Age of Information Optimization","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9961000084877014,"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/T12238","display_name":"Green IT and Sustainability","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8270620703697205},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6506770849227905},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4988515377044678},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.46049952507019043},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.41530150175094604},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3803720474243164},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36077624559402466},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09595745801925659}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8270620703697205},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6506770849227905},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4988515377044678},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.46049952507019043},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.41530150175094604},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3803720474243164},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36077624559402466},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09595745801925659},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3630048.3630183","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3630048.3630183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Workshop on Distributed Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G6893530020","display_name":null,"funder_award_id":"CNS-2106184","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1963632839","https://openalex.org/W1973069666","https://openalex.org/W1988888548","https://openalex.org/W2194775991","https://openalex.org/W2541884796","https://openalex.org/W2784041417","https://openalex.org/W2792877519","https://openalex.org/W2793849170","https://openalex.org/W2903223816","https://openalex.org/W2917708172","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963404959","https://openalex.org/W3014718068","https://openalex.org/W3034163621","https://openalex.org/W3043574444","https://openalex.org/W3046183292","https://openalex.org/W3129405170","https://openalex.org/W3155039760","https://openalex.org/W3169198323","https://openalex.org/W3184427218","https://openalex.org/W3207087425","https://openalex.org/W3209564325","https://openalex.org/W3211351785","https://openalex.org/W4206320562","https://openalex.org/W4282960063","https://openalex.org/W4282974189","https://openalex.org/W4292084264","https://openalex.org/W4306178406","https://openalex.org/W4323519282","https://openalex.org/W6713134421","https://openalex.org/W6759238902","https://openalex.org/W6764791836","https://openalex.org/W6773976177"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4366179611","https://openalex.org/W4387123727"],"abstract_inverted_index":{"Training":[0],"DNNs":[1],"on":[2],"a":[3,29,57],"smartphone":[4,62],"system-on-a-chip":[5],"(SoC)":[6],"without":[7],"carefully":[8],"considering":[9],"its":[10],"resource":[11,43],"constraints":[12],"leads":[13],"to":[14,66,71],"suboptimal":[15],"training":[16,36,112],"performance":[17,113],"and":[18,39,48,91,116],"significantly":[19],"affects":[20],"user":[21,101],"experience.":[22,102],"To":[23],"this":[24],"end,":[25],"we":[26],"present":[27],"Flamingo,":[28],"system":[30],"for":[31,37,94],"smartphones":[32],"that":[33,82,107],"optimizes":[34],"DNN":[35],"time":[38,89],"energy":[40,92,117],"under":[41],"dynamic":[42],"availability,":[44],"by":[45,114,119],"scaling":[46],"parallelism":[47],"exploiting":[49],"compute":[50],"heterogeneity":[51],"in":[52,87],"real-time.":[53],"As":[54],"AI":[55],"becomes":[56,69],"part":[58],"of":[59],"the":[60,64,122],"mainstream":[61],"experience,":[63],"need":[65],"train":[67],"on-device":[68,95],"crucial":[70],"fine-tune":[72],"predictive":[73],"models":[74],"while":[75,97],"ensuring":[76],"data":[77],"privacy.":[78],"Our":[79],"experiments":[80],"show":[81,106],"Flamingo":[83,108],"achieves":[84],"significant":[85],"improvement":[86],"reducing":[88],"(12\u00d7)":[90],"(8\u00d7)":[93],"training,":[96],"nearly":[98],"eliminating":[99],"detrimental":[100],"Extensive":[103],"large-scale":[104],"evaluations":[105],"can":[109],"improve":[110],"end-to-end":[111],"1.2-23.3\u00d7":[115],"efficiency":[118],"1.6--7\u00d7":[120],"over":[121],"state-of-the-art.":[123]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
