{"id":"https://openalex.org/W7164971211","doi":"https://doi.org/10.48550/arxiv.2606.16384","title":"Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training","display_name":"Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164971211","doi":"https://doi.org/10.48550/arxiv.2606.16384"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.16384","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16384","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.16384","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138747010","display_name":"Sameera Ramasinghe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramasinghe, Sameera","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138718886","display_name":"Ajanthan Thalaiyasingam","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thalaiyasingam, Ajanthan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024380002","display_name":"Hadi M. Dolatabadi","orcid":"https://orcid.org/0000-0001-9418-1487"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dolatabadi, Hadi Mohaghegh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136948014","display_name":"Gil Avraham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avraham, Gil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015805464","display_name":"Violetta Shevchenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shevchenko, Violetta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436506","display_name":"Yan Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuo, Yan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075325374","display_name":"Chamin Hewa Koneputugodage","orcid":"https://orcid.org/0009-0000-1333-5967"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koneputugodage, Chamin Hewa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128196329","display_name":"Alexander Long","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.13910000026226044,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14347","display_name":"Big Data and Digital Economy","score":0.13910000026226044,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.13179999589920044,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.060100000351667404,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6391000151634216},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6126999855041504},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5464000105857849},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5202000141143799},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5177000164985657},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.4932999908924103},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4918999969959259},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4912000000476837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784600019454956},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6391000151634216},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6126999855041504},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5464000105857849},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5202000141143799},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5177000164985657},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.4932999908924103},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4918999969959259},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4417000114917755},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43209999799728394},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4090999960899353},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.3935999870300293},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2831999957561493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2734000086784363}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.16384","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16384","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.16384","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.16384","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Pretraining":[0],"language":[1],"models":[2,112,132],"with":[3,74],"extended":[4],"context":[5,61,114],"windows":[6],"enhances":[7],"their":[8],"ability":[9],"to":[10,86,99,113],"leverage":[11],"rich":[12],"information":[13],"during":[14],"generation.":[15],"Existing":[16],"methods":[17,45],"split":[18],"input":[19],"sequences":[20],"into":[21],"chunks,":[22],"broadcast":[23],"them":[24,98],"across":[25],"multiple":[26],"devices,":[27],"and":[28,77],"compute":[29],"attention":[30],"block":[31,33],"by":[32,95],"which":[34],"incurs":[35],"significant":[36],"communication":[37],"overhead.":[38],"While":[39],"feasible":[40],"in":[41,63,80],"high-speed":[42],"clusters,":[43],"these":[44],"are":[46],"impractical":[47],"for":[48,59],"decentralized":[49,64,111],"training":[50],"over":[51,72],"low-bandwidth":[52],"connections.":[53],"We":[54,107],"propose":[55],"a":[56,67],"compression":[57,69],"method":[58],"communication-efficient":[60],"parallelism":[62],"settings,":[65],"achieving":[66],"remarkable":[68],"rate":[70],"of":[71,92,102,130],"95\\%":[73],"negligible":[75],"overhead":[76],"no":[78],"loss":[79],"convergence.":[81],"Our":[82],"key":[83],"insight":[84],"is":[85],"exploit":[87],"the":[88,126],"intrinsic":[89],"low-rank":[90],"structure":[91],"activation":[93],"outputs":[94],"dynamically":[96],"constraining":[97],"learned":[100],"mixtures":[101],"subspaces":[103],"via":[104],"efficient":[105],"reparameterizations.":[106],"demonstrate":[108],"scaling":[109],"billion-parameter":[110],"lengths":[115],"exceeding":[116],"100K":[117],"tokens":[118],"on":[119,133],"networks":[120],"as":[121,123],"slow":[122],"300Mbps,":[124],"matching":[125],"wall-clock":[127],"convergence":[128],"speed":[129],"centralized":[131],"100Gbps":[134],"interconnects.":[135]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-17T00:00:00"}