{"id":"https://openalex.org/W4395668760","doi":"https://doi.org/10.1145/3625687.3628379","title":"Demo Abstract: HybriSim - A Hybrid Simulation System for Distributed Machine Learning with Mobility","display_name":"Demo Abstract: HybriSim - A Hybrid Simulation System for Distributed Machine Learning with Mobility","publication_year":2023,"publication_date":"2023-11-12","ids":{"openalex":"https://openalex.org/W4395668760","doi":"https://doi.org/10.1145/3625687.3628379"},"language":"en","primary_location":{"id":"doi:10.1145/3625687.3628379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628379","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 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3625687.3628379","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042794234","display_name":"Haoxiang Yu","orcid":"https://orcid.org/0000-0002-3518-946X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoxiang Yu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-3518-946X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas, United States of America","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081182489","display_name":"Xi Zheng","orcid":"https://orcid.org/0000-0002-2572-2355"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xi Zheng","raw_affiliation_strings":["Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2572-2355","affiliations":[{"raw_affiliation_string":"Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023117758","display_name":"Christine Julien","orcid":"https://orcid.org/0000-0002-4131-4642"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christine Julien","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-4131-4642","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas, United States of America","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"474","last_page":"475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9876000285148621,"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":0.9876000285148621,"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/T13553","display_name":"Age of Information Optimization","score":0.9824000000953674,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.7811723947525024},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46840402483940125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3229539394378662},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.320654034614563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811723947525024},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46840402483940125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3229539394378662},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.320654034614563}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625687.3628379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628379","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 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3625687.3628379","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625687.3628379","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 21st ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1169235253","display_name":null,"funder_award_id":"CNS-190922","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3636399406","display_name":null,"funder_award_id":"ARC LP190100676","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4281690318"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0,129],"paper":[1],"introduces":[2],"a":[3,42,156],"novel":[4],"hybrid":[5],"simulation":[6],"system":[7,33,85,154],"(HybriSim)":[8],"tailored":[9],"for":[10,51,69,159],"simulating":[11],"distributed":[12,111,171],"learning":[13,53,172],"in":[14,73,174],"mobile":[15],"settings,":[16],"such":[17,109],"as":[18,110],"those":[19],"involving":[20,104],"vehicles":[21],"and":[22,61,127,161,167],"pedestrians":[23],"navigating":[24],"through":[25],"cities.":[26],"Designed":[27],"to":[28,58,99,101],"be":[29],"learning-method":[30],"independent,":[31],"the":[32,45,89,134,143],"is":[34],"compatible":[35],"with":[36,117,137],"decentralized":[37,52],"learning,":[38,40],"federated":[39],"or":[41,87],"combination":[43],"of":[44,91,93,107,146],"two.":[46],"It":[47],"has":[48],"special":[49],"relevance":[50],"systems":[54,173],"that":[55],"are":[56,76,97],"sensitive":[57],"mobility":[59,175],"patterns":[60],"rely":[62],"on":[63,150],"direct,":[64],"device-to-device":[65],"communication.":[66],"Existing":[67],"tools":[68],"evaluating":[70],"resource-intensive":[71],"tasks":[72],"opportunistic":[74],"networks":[75],"either":[77],"purely":[78],"simulated,":[79],"which":[80,96],"may":[81],"not":[82,131],"accurately":[83,123],"reflect":[84],"performance,":[86],"take":[88],"form":[90],"testbeds":[92],"real":[94,115,151],"devices,":[95,108,120],"difficult":[98],"scale":[100],"use":[102],"cases":[103],"huge":[105],"numbers":[106],"learning.":[112],"By":[113],"integrating":[114],"devices":[116],"virtual":[118],"simulated":[119],"HybriSim":[121],"more":[122,165],"mirrors":[124],"real-world":[125],"performance":[126],"dynamics.":[128],"integration":[130],"only":[132],"mitigates":[133],"biases":[135],"associated":[136],"pure":[138],"simulations":[139,148],"but":[140],"also":[141],"resolves":[142],"deployment":[144],"complexities":[145],"conducting":[147],"entirely":[149],"devices.":[152],"Our":[153],"sets":[155],"new":[157],"benchmark":[158],"academic":[160],"industry":[162],"researchers,":[163],"facilitating":[164],"reliable":[166],"actionable":[168],"insights":[169],"into":[170],"contexts.":[176]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
