{"id":"https://openalex.org/W4323519282","doi":"https://doi.org/10.1109/mnet.130.2200471","title":"Energy-Efficient Federated Training on Mobile Device","display_name":"Energy-Efficient Federated Training on Mobile Device","publication_year":2023,"publication_date":"2023-03-07","ids":{"openalex":"https://openalex.org/W4323519282","doi":"https://doi.org/10.1109/mnet.130.2200471"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.130.2200471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.130.2200471","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","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/A5064672674","display_name":"Qiyang Zhang","orcid":"https://orcid.org/0000-0001-5585-6613"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyang Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5585-6613","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100569430","display_name":"Zhu Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuo Zhu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016717153","display_name":"Ao Zhou","orcid":"https://orcid.org/0000-0001-5743-9418"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Zhou","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5743-9418","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089796695","display_name":"Qibo Sun","orcid":"https://orcid.org/0000-0002-3301-7074"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qibo Sun","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3301-7074","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004847496","display_name":"Schahram Dustdar","orcid":"https://orcid.org/0000-0001-6872-8821"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Schahram Dustdar","raw_affiliation_strings":["Distributed Systems Group, Technische Universität Wien, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0001-6872-8821","affiliations":[{"raw_affiliation_string":"Distributed Systems Group, Technische Universität Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054814598","display_name":"Shangguang Wang","orcid":"https://orcid.org/0000-0001-7245-1298"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangguang Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7245-1298","affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9483,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75208398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"38","issue":"1","first_page":"180","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9972000122070312,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9972000122070312,"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":0.9872999787330627,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8733937740325928},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.7091003656387329},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6713817715644836},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"Multiprocessing","score":0.5011417865753174},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.49884724617004395},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4865962266921997},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4449981153011322},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3803345263004303},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35607028007507324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3316761255264282},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3310578763484955},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.21323713660240173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8733937740325928},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.7091003656387329},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6713817715644836},{"id":"https://openalex.org/C4822641","wikidata":"https://www.wikidata.org/wiki/Q846651","display_name":"Multiprocessing","level":2,"score":0.5011417865753174},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.49884724617004395},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4865962266921997},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4449981153011322},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3803345263004303},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35607028007507324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3316761255264282},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3310578763484955},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.21323713660240173},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.130.2200471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.130.2200471","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W3015636663","https://openalex.org/W3028307607","https://openalex.org/W3104494818","https://openalex.org/W3144271226","https://openalex.org/W3154608090","https://openalex.org/W3165698711","https://openalex.org/W3174425757","https://openalex.org/W4214951654","https://openalex.org/W4221024054","https://openalex.org/W4221138647","https://openalex.org/W4282974189","https://openalex.org/W4306178406","https://openalex.org/W6762339390","https://openalex.org/W6762580018","https://openalex.org/W6785440099","https://openalex.org/W6796468671"],"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/W179829755","https://openalex.org/W4293061881"],"abstract_inverted_index":{"On-device":[0],"deep":[1],"learning":[2],"technology":[3],"has":[4],"attracted":[5],"increasing":[6],"interest":[7],"recently.":[8],"CPUs":[9,30],"are":[10],"the":[11,42,47,60,68,74,85,124,129,134],"most":[12],"common":[13],"commercial":[14],"hardware":[15],"on":[16,52,123,149],"devices":[17],"and":[18,25,94,97,128],"many":[19],"training":[20,35,38,62,95],"libraries":[21],"have":[22],"been":[23],"developed":[24],"optimized":[26],"for":[27,115],"them.":[28],"However,":[29],"still":[31],"suffer":[32],"from":[33],"poor":[34],"performance":[36],"(i.e.,":[37],"time)":[39],"due":[40],"to":[41,63,82,143],"specific":[43],"asymmetric":[44],"multiprocessor.":[45],"Moreover,":[46],"energy":[48,77,93,140],"constraint":[49],"imposes":[50],"restrictions":[51],"battery-powered":[53],"devices.":[54],"With":[55],"federated":[56],"training,":[57],"we":[58,91],"expect":[59],"local":[61],"be":[64,80],"completed":[65],"rapidly":[66],"therefore":[67],"global":[69],"model":[70],"converges":[71],"fast.":[72],"At":[73],"same":[75],"time,":[76],"consumption":[78],"should":[79],"minimized":[81],"avoid":[83],"compromising":[84],"user":[86],"experience.":[87],"To":[88],"this":[89],"end,":[90],"consider":[92],"time":[96],"propose":[98],"a":[99,103],"novel":[100],"framework":[101],"with":[102,146],"machine":[104],"learning-based":[105],"adaptive":[106,135],"configuration":[107,113],"allocation":[108,136],"strategy,":[109],"which":[110],"chooses":[111],"optimal":[112],"combinations":[114],"efficient":[116],"ondevice":[117],"training.":[118],"We":[119],"carry":[120],"out":[121],"experiments":[122],"popular":[125],"library":[126],"MNN":[127],"experimental":[130],"results":[131],"show":[132],"that":[133],"algorithm":[137],"reduces":[138],"substantial":[139],"consumption,":[141],"compared":[142],"all":[144],"batches":[145],"fixed":[147],"configurations":[148],"off-the-shelf":[150],"CPUs.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}