{"id":"https://openalex.org/W7160632100","doi":"https://doi.org/10.1145/3774906.3802790","title":"Decoupling Timing Estimation and Convergence for Efficient and Accurate Exploration of Configurations in Edge DDL Training","display_name":"Decoupling Timing Estimation and Convergence for Efficient and Accurate Exploration of Configurations in Edge DDL Training","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160632100","doi":"https://doi.org/10.1145/3774906.3802790"},"language":null,"primary_location":{"id":"doi:10.1145/3774906.3802790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802790","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774906.3802790","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135689410","display_name":"Joshua Daley","orcid":"https://orcid.org/0009-0001-2672-1100"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Daley","raw_affiliation_strings":["School of Computing, Binghamton University, Binghamton, New York, USA"],"raw_orcid":"https://orcid.org/0009-0001-2672-1100","affiliations":[{"raw_affiliation_string":"School of Computing, Binghamton University, Binghamton, New York, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012938738","display_name":"Pengzhan Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengzhan Hao","raw_affiliation_strings":["School of Computing, Binghamton University, Binghamton, New York, USA"],"raw_orcid":"https://orcid.org/0009-0006-6148-1110","affiliations":[{"raw_affiliation_string":"School of Computing, Binghamton University, Binghamton, New York, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135693036","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0002-7052-4497"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Zhang","raw_affiliation_strings":["School of Computing, Binghamton University, Binghamton, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-7052-4497","affiliations":[{"raw_affiliation_string":"School of Computing, Binghamton University, Binghamton, New York, USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123946342"],"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":"1158","last_page":"1170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.10970000177621841,"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":0.10970000177621841,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.10670000314712524,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.07750000059604645,"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/training","display_name":"Training (meteorology)","score":0.6639000177383423},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5472999811172485},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5231999754905701},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.48899999260902405},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.47609999775886536},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45669999718666077},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.3939000070095062},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.37459999322891235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286999821662903},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6639000177383423},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5472999811172485},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5231999754905701},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.48899999260902405},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.47609999775886536},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41449999809265137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4115999937057495},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.3939000070095062},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.37459999322891235},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3718999922275543},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29750001430511475},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.27790001034736633},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C2986737936","wikidata":"https://www.wikidata.org/wiki/Q1058791","display_name":"Time synchronization","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774906.3802790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802790","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774906.3802790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774906.3802790","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2483380728","display_name":"CAREER: Enabling Edge-hosted Private Services via Unikernel-based Lightweight Virtualization","funder_award_id":"1943269","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2060393849","https://openalex.org/W2063302961","https://openalex.org/W2112796928","https://openalex.org/W2960833983","https://openalex.org/W2966086598","https://openalex.org/W3186771824","https://openalex.org/W3216793062","https://openalex.org/W4379033976"],"related_works":[],"abstract_inverted_index":{"Edge-based":[0],"distributed":[1],"deep":[2],"learning":[3],"(DDL)":[4],"is":[5,27,69],"increasingly":[6],"important":[7],"for":[8,32],"embedded":[9],"AI":[10],"scenarios":[11],"where":[12],"data":[13],"resides":[14],"within":[15],"a":[16,20,46,55],"trusted":[17],"domain":[18],"(e.g.,":[19],"hospital":[21],"or":[22,34],"campus":[23],"network)":[24],"and":[25,60,72,78,92],"compute":[26],"pushed":[28],"to":[29,86,97],"edge":[30],"nodes":[31],"cost":[33],"performance":[35],"reasons.":[36],"Deploying":[37],"efficient":[38],"DDL":[39],"systems":[40],"in":[41],"such":[42],"settings":[43],"requires":[44],"evaluating":[45],"large":[47],"space":[48,65],"of":[49,57],"training":[50,68,84],"configurations,":[51],"each":[52],"defined":[53],"by":[54],"combination":[56],"cluster":[58],"topology":[59],"synchronization":[61],"strategy.":[62],"Exploring":[63],"this":[64],"through":[66],"real":[67],"prohibitively":[70],"slow,":[71],"existing":[73],"single-machine":[74],"simulators":[75],"are":[76],"inaccurate":[77],"inefficient,":[79],"as":[80],"they":[81],"require":[82],"full":[83],"runs":[85],"estimate":[87],"timing,":[88],"overlook":[89],"communication":[90],"effects,":[91],"suffer":[93],"timing":[94],"distortions":[95],"due":[96],"host-level":[98],"scheduling.":[99]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-09T00:00:00"}