{"id":"https://openalex.org/W4391889484","doi":"https://doi.org/10.1109/comsnets59351.2024.10427274","title":"Towards Peer-to-Peer Split Learning","display_name":"Towards Peer-to-Peer Split Learning","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4391889484","doi":"https://doi.org/10.1109/comsnets59351.2024.10427274"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets59351.2024.10427274","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets59351.2024.10427274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","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/A5016283309","display_name":"Jayant Vyas","orcid":"https://orcid.org/0000-0002-9718-3338"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jayant Vyas","raw_affiliation_strings":["Indian Institute of Technology,Jodhpur,India","Indian Institute of Technology, Jodhpur, India","Accenture Labs, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Jodhpur,India","institution_ids":["https://openalex.org/I154549908"]},{"raw_affiliation_string":"Indian Institute of Technology, Jodhpur, India","institution_ids":["https://openalex.org/I154549908"]},{"raw_affiliation_string":"Accenture Labs, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021231841","display_name":"Ritesh Dhananjay Nikose","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ritesh Dhananjay Nikose","raw_affiliation_strings":["Accenture Labs,Bengaluru,India","Accenture Labs, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Accenture Labs,Bengaluru,India","institution_ids":[]},{"raw_affiliation_string":"Accenture Labs, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093943983","display_name":"Pallavi Ramicetty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pallavi Ramicetty","raw_affiliation_strings":["Accenture Labs,Bengaluru,India","Accenture Labs, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Accenture Labs,Bengaluru,India","institution_ids":[]},{"raw_affiliation_string":"Accenture Labs, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064002794","display_name":"Shravan Mohan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shravan Mohan","raw_affiliation_strings":["Accenture Labs,Bengaluru,India","Accenture Labs, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Accenture Labs,Bengaluru,India","institution_ids":[]},{"raw_affiliation_string":"Accenture Labs, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014477620","display_name":"Milind Savagaonkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Milind Savagaonkar","raw_affiliation_strings":["Accenture Labs,Bengaluru,India","Accenture Labs, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Accenture Labs,Bengaluru,India","institution_ids":[]},{"raw_affiliation_string":"Accenture Labs, Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052577117","display_name":"Anutosh Maitra","orcid":"https://orcid.org/0000-0002-1346-8783"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anutosh Maitra","raw_affiliation_strings":["Accenture Labs,Bengaluru,India","Accenture Labs, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Accenture Labs,Bengaluru,India","institution_ids":[]},{"raw_affiliation_string":"Accenture Labs, Bengaluru, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748443","display_name":"Shubhashis Sengupta","orcid":"https://orcid.org/0009-0003-8298-0216"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shubhashis Sengupta","raw_affiliation_strings":["Accenture Labs,Bengaluru,India","Accenture Labs, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Accenture Labs,Bengaluru,India","institution_ids":[]},{"raw_affiliation_string":"Accenture Labs, Bengaluru, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016283309"],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02597415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"881","last_page":"888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.732699990272522,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.732699990272522,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.6503999829292297,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.6459000110626221,"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":0.690283477306366},{"id":"https://openalex.org/keywords/peer-to-peer","display_name":"Peer-to-peer","score":0.647991418838501},{"id":"https://openalex.org/keywords/peer-review","display_name":"Peer review","score":0.45921987295150757},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24456787109375},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0856790840625763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690283477306366},{"id":"https://openalex.org/C534932454","wikidata":"https://www.wikidata.org/wiki/Q161410","display_name":"Peer-to-peer","level":2,"score":0.647991418838501},{"id":"https://openalex.org/C138368954","wikidata":"https://www.wikidata.org/wiki/Q215028","display_name":"Peer review","level":2,"score":0.45921987295150757},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24456787109375},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0856790840625763},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets59351.2024.10427274","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets59351.2024.10427274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2963209930","https://openalex.org/W2969388332","https://openalex.org/W2990789643","https://openalex.org/W2991040477","https://openalex.org/W2996845627","https://openalex.org/W3018102029","https://openalex.org/W3035968329","https://openalex.org/W3094163844","https://openalex.org/W3106356772","https://openalex.org/W4289147263","https://openalex.org/W4312323164","https://openalex.org/W4313149981","https://openalex.org/W4318619660","https://openalex.org/W6728757088","https://openalex.org/W6756436328","https://openalex.org/W6770590064","https://openalex.org/W6784239669"],"related_works":["https://openalex.org/W2002490650","https://openalex.org/W2322032246","https://openalex.org/W2070161337","https://openalex.org/W3168910912","https://openalex.org/W2080162505","https://openalex.org/W154757022","https://openalex.org/W4245517956","https://openalex.org/W2000898175","https://openalex.org/W2783918606","https://openalex.org/W3194979224"],"abstract_inverted_index":{"In":[0,175],"this":[1,34,245],"paper,":[2],"the":[3,39,57,65,70,74,87,90,93,102,112,117,121,125,133,145,153,159,162,170,185,207,211,221,224,233,238,248,257],"<tex":[4,181],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[5,182],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$N$</tex>-split":[6,183],"learning":[7,15],"scheme":[8,12,35],"is":[9,36,48,59,172,250],"presented.":[10],"This":[11,98],"allows":[13],"for":[14,26,77,139,235,255,260,267],"a":[16,78,130,140,156,214],"feed-forward":[17],"deep":[18],"neural":[19],"network":[20],"on":[21,196],"devices":[22,154,198,222,228,239],"with":[23,64,92],"limited":[24],"memory":[25],"model":[27,40,47,171,249],"and":[28,41,85,120,144,161,187,193,263],"data.":[29],"The":[30,46,62,107,135,204,227],"central":[31],"idea":[32],"in":[33,124,213],"to":[37,89,110,199,237],"divide":[38],"data":[42,58,83],"over":[43],"different":[44,197],"devices.":[45],"split":[49,60,259],"layer-wise":[50],"(in":[51],"subsets":[52],"of":[53,73,96,132,142,158],"consecutive":[54],"layers),":[55],"while":[56],"homogeneously.":[61],"device":[63,91,109],"first":[66],"few":[67],"layers":[68,104,205],"starts":[69,165],"forward":[71,113,186,208,241],"pass":[72,114,209],"backpropagation":[75],"algorithm":[76],"training":[79],"sample":[80],"from":[81,201],"its":[82],"subset":[84,95],"passes":[86,189,231],"output":[88,212],"next":[94],"layers.":[97],"process":[99,122,164],"continues":[100,168,246],"till":[101,169,247],"last":[103,108],"are":[105,137,147,190,265],"computed.":[106],"compute":[111],"then":[115],"computes":[116],"backward":[118,188,225,230],"pass,":[119],"proceeds":[123],"reverse":[126],"direction,":[127],"thereby":[128],"calculating":[129],"part":[131],"gradients.":[134],"gradients":[136],"accumulated":[138],"batch":[141],"samples,":[143],"parameters":[146,236],"updated.":[148],"After":[149],"completing":[150],"an":[151,176],"epoch,":[152],"perform":[155],"swap":[157],"layers,":[160],"above":[163],"again.":[166],"It":[167],"trained":[173,251],"satisfactorily.":[174,252],"improved":[177],"variant,":[178],"called":[179],"Fast":[180],"learning,":[184],"considered":[191],"separately":[192],"possibly":[194],"done":[195],"gain":[200],"pipeline":[202],"parallelism.":[203],"performing":[206,223,229],"store":[210],"buffer,":[215],"which":[216],"will":[217],"be":[218],"used":[219],"by":[220],"pass.":[226],"communicate":[232],"update":[234],"doing":[240],"passes.":[242],"As":[243],"earlier,":[244],"Analysis,":[253],"routines":[254],"determining":[256],"optimal":[258],"both":[261],"schemes":[262],"simulations":[264],"presented":[266],"corroboration.":[268]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
