{"id":"https://openalex.org/W3193378579","doi":"https://doi.org/10.1109/mnet.011.2100075","title":"SpaceDML: Enabling Distributed Machine Learning in Space Information Networks","display_name":"SpaceDML: Enabling Distributed Machine Learning in Space Information Networks","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3193378579","doi":"https://doi.org/10.1109/mnet.011.2100075","mag":"3193378579"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.011.2100075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2100075","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/A5009370494","display_name":"Hanxi Guo","orcid":"https://orcid.org/0000-0002-7566-1589"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanxi Guo","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101440566","display_name":"Qing Yang","orcid":"https://orcid.org/0000-0002-2772-4813"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Yang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769481","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0002-1444-2657"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["Louisiana State University"],"affiliations":[{"raw_affiliation_string":"Louisiana State University","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016123060","display_name":"Hua Yang","orcid":"https://orcid.org/0000-0001-5536-503X"},"institutions":[{"id":"https://openalex.org/I126231945","display_name":"Queen's University Belfast","ror":"https://ror.org/00hswnk62","country_code":"GB","type":"education","lineage":["https://openalex.org/I126231945"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Hua","raw_affiliation_strings":["Queen's University Belfast"],"affiliations":[{"raw_affiliation_string":"Queen's University Belfast","institution_ids":["https://openalex.org/I126231945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459489","display_name":"Tao Song","orcid":"https://orcid.org/0000-0002-5965-3140"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Song","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036789442","display_name":"Ruhui Ma","orcid":"https://orcid.org/0000-0001-9592-8490"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruhui Ma","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049487451","display_name":"Haibing Guan","orcid":"https://orcid.org/0000-0002-4714-7400"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibing Guan","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5009370494"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.76,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85467885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"35","issue":"4","first_page":"82","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9987000226974487,"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":0.9987000226974487,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9930999875068665,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9736999869346619,"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":0.8554346561431885},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6454783082008362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6447442770004272},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6437698602676392},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5662021636962891},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5152285695075989},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3645440340042114},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3451102375984192},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2129601538181305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8554346561431885},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6454783082008362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6447442770004272},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6437698602676392},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5662021636962891},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5152285695075989},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3645440340042114},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3451102375984192},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2129601538181305},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mnet.011.2100075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2100075","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"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/19161073-7831-443b-968e-c75117f8cbb7","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/19161073-7831-443b-968e-c75117f8cbb7","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Guo , H , Yang , Q , Wang , H , Hua , Y , Song , T , Ma , R &amp; Guan , H 2021 , ' SpaceDML: Enabling distributed machine learning in space information networks ' , IEEE Network , vol. 35 , no. 4 , pp. 82-87 . https://doi.org/10.1109/MNET.011.2100075","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G4750678945","display_name":null,"funder_award_id":"61872234,61732010,61525204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1902934009","https://openalex.org/W2159189825","https://openalex.org/W2319920447","https://openalex.org/W2369715846","https://openalex.org/W2535838896","https://openalex.org/W2541884796","https://openalex.org/W2769644379","https://openalex.org/W2890655904","https://openalex.org/W2963114950","https://openalex.org/W2975043678","https://openalex.org/W3015901293","https://openalex.org/W3034719990","https://openalex.org/W3037209298","https://openalex.org/W3048121440","https://openalex.org/W3115851078","https://openalex.org/W4287720355","https://openalex.org/W4287755088","https://openalex.org/W4297687186","https://openalex.org/W4318619660","https://openalex.org/W6639703010","https://openalex.org/W6700264148","https://openalex.org/W6728757088","https://openalex.org/W6746200960","https://openalex.org/W6754479606","https://openalex.org/W6768511045","https://openalex.org/W6772064624","https://openalex.org/W6779409229","https://openalex.org/W6780897730","https://openalex.org/W6781891088"],"related_works":["https://openalex.org/W2947175736","https://openalex.org/W2364921833","https://openalex.org/W4287510235","https://openalex.org/W2904174853","https://openalex.org/W4380075502","https://openalex.org/W2276478028","https://openalex.org/W2385146268","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W2597787948"],"abstract_inverted_index":{"Space":[0],"information":[1],"networks":[2],"(SINs)":[3],"have":[4,27],"become":[5],"a":[6,29,55,66,142],"rapidly":[7],"growing":[8],"global":[9],"infrastructure":[10],"service.":[11],"Massive":[12],"volumes":[13],"of":[14,57,130],"high-resolution":[15],"images":[16],"and":[17,23,43,90,108,126,162],"videos":[18],"captured":[19],"by":[20,140,159,167],"low-orbit":[21],"satellites":[22],"unmanned":[24],"aerial":[25],"vehicles":[26],"provided":[28],"rich":[30],"training":[31,85,141],"data":[32],"source":[33],"for":[34,71],"machine":[35,51,68,83,132],"learning":[36,52,69,84,133],"applications.":[37],"However,":[38],"SIN":[39,58,72,135],"devices'":[40],"limited":[41,88],"communication":[42,124,164],"computation":[44],"resources":[45],"make":[46],"it":[47],"challenging":[48],"to":[49,80,86,169,173],"perform":[50],"efficiently":[53],"with":[54,134],"swarm":[56],"devices.":[59,136],"In":[60],"this":[61],"article,":[62],"we":[63],"propose":[64],"Spacedml,":[65],"distributed":[67,82,131],"system":[70],"platforms":[73],"that":[74,153],"applies":[75],"dynamic":[76],"model":[77,118,144,157],"compression":[78],"techniques":[79],"adapt":[81],"SINs'":[87],"bandwidth":[89,165],"unstable":[91],"connectivity.":[92],"Spaced-ml":[93],"has":[94],"two":[95],"key":[96],"algorithm:s":[97],"adaptive":[98],"loss-aware":[99],"quantization,":[100],"which":[101,112],"compresses":[102],"models":[103],"without":[104],"sacrificing":[105],"their":[106],"quality,":[107],"partial":[109,117],"weight":[110],"averaging,":[111],"selectively":[113],"averages":[114],"active":[115],"clients'":[116],"updates.":[119],"These":[120],"algorithms":[121],"jointly":[122],"improve":[123],"efficiency":[125],"enhance":[127],"the":[128,146,174],"scalability":[129],"We":[137],"evaluate":[138],"Spacedml":[139,154],"LeNet-S":[143],"on":[145],"MNIST":[147],"dataset.":[148],"The":[149],"experimental":[150],"results":[151],"show":[152],"can":[155],"increase":[156],"accuracy":[158],"2-3":[160],"percent":[161,171],"reduce":[163],"consumption":[166],"up":[168],"60":[170],"compared":[172],"baseline":[175],"algorithm.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
