{"id":"https://openalex.org/W7133956895","doi":"https://doi.org/10.48550/arxiv.2603.03592","title":"SENTINEL: Stagewise Integrity Verification for Pipeline Parallel Decentralized Training","display_name":"SENTINEL: Stagewise Integrity Verification for Pipeline Parallel Decentralized Training","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133956895","doi":"https://doi.org/10.48550/arxiv.2603.03592"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.03592","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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/A5039055995","display_name":"Thalaiyasingam Ajanthan","orcid":"https://orcid.org/0000-0002-6431-0775"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajanthan, Thalaiyasingam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128192783","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/A5124871977","display_name":"Chamin P Hewa Koneputugodage","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koneputugodage, Chamin P Hewa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042457521","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/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/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":"last","author":{"id":"https://openalex.org/A5007243463","display_name":"Alex Long","orcid":"https://orcid.org/0000-0001-5838-5490"},"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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27141094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.4875999987125397,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.4875999987125397,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.19460000097751617,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.08969999849796295,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.7045000195503235},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6894999742507935},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6865000128746033},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.555899977684021},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5329999923706055},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4255000054836273},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.41830000281333923},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3228999972343445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7573000192642212},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.7045000195503235},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6894999742507935},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6865000128746033},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.555899977684021},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5435000061988831},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5329999923706055},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4255000054836273},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33880001306533813},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2660999894142151},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2542000114917755},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.03592","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.03592","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03592","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.03592","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Decentralized":[0],"training":[1,21,67,128],"introduces":[2],"critical":[3],"security":[4],"risks":[5],"when":[6,120],"executed":[7],"across":[8,39,96,134],"untrusted,":[9],"geographically":[10],"distributed":[11,38,136],"nodes.":[12],"While":[13],"existing":[14,87],"Byzantine-tolerant":[15,88],"literature":[16],"addresses":[17],"data":[18],"parallel":[19],"(DP)":[20],"through":[22],"robust":[23],"aggregation":[24],"methods,":[25],"pipeline":[26],"parallelism":[27],"(PP)":[28],"presents":[29],"fundamentally":[30],"distinct":[31],"challenges.":[32],"In":[33],"PP,":[34],"model":[35,145],"layers":[36],"are":[37],"workers":[40,142],"where":[41],"the":[42],"activations":[43],"and":[44,147],"their":[45],"gradients":[46,95],"flow":[47],"between":[48,104],"stages":[49],"rather":[50],"than":[51],"being":[52],"aggregated,":[53],"making":[54],"traditional":[55],"DP":[56,91],"approaches":[57,89],"inapplicable.":[58],"We":[59,106],"propose":[60],"SENTINEL,":[61],"a":[62],"verification":[63],"mechanism":[64],"for":[65,90,111],"PP":[66],"without":[68],"computation":[69],"duplication.":[70],"SENTINEL":[71],"employs":[72],"lightweight":[73],"momentum-based":[74],"monitoring":[75],"using":[76],"exponential":[77],"moving":[78],"averages":[79],"(EMAs)":[80],"to":[81,122,131,140],"detect":[82],"corrupted":[83],"inter-stage":[84],"communication.":[85],"Unlike":[86],"that":[92,115],"aggregate":[93],"parameter":[94],"replicas,":[97],"our":[98],"approach":[99],"verifies":[100],"sequential":[101],"activation/gradient":[102],"transmission":[103],"layers.":[105],"provide":[107],"theoretical":[108],"convergence":[109,118,146],"guarantees":[110],"this":[112],"new":[113],"setting":[114],"recovers":[116],"classical":[117],"rates":[119],"relaxed":[121],"standard":[123],"training.":[124],"Experiments":[125],"demonstrate":[126],"successful":[127],"of":[129],"up":[130,139],"4B-parameter":[132],"LLMs":[133],"untrusted":[135],"environments":[137],"with":[138],"176":[141],"while":[143],"maintaining":[144],"performance.":[148]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-06T00:00:00"}
