{"id":"https://openalex.org/W4413679897","doi":"https://doi.org/10.23919/wiopt66569.2025.11123371","title":"CoCoI: Distributed Coded Inference System for Straggler Mitigation","display_name":"CoCoI: Distributed Coded Inference System for Straggler Mitigation","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4413679897","doi":"https://doi.org/10.23919/wiopt66569.2025.11123371"},"language":"en","primary_location":{"id":"doi:10.23919/wiopt66569.2025.11123371","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt66569.2025.11123371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","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/A5049172934","display_name":"Xingyue Liu","orcid":"https://orcid.org/0000-0002-9168-0659"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Liu","raw_affiliation_strings":["Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040402082","display_name":"Chao Huang","orcid":"https://orcid.org/0000-0001-9872-3511"},"institutions":[{"id":"https://openalex.org/I166088655","display_name":"Montclair State University","ror":"https://ror.org/01nxc2t48","country_code":"US","type":"education","lineage":["https://openalex.org/I166088655"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["School of Computing, Montclair State University,Montclair,New Jersey,USA"],"affiliations":[{"raw_affiliation_string":"School of Computing, Montclair State University,Montclair,New Jersey,USA","institution_ids":["https://openalex.org/I166088655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102977511","display_name":"Ming Tang","orcid":"https://orcid.org/0000-0003-1587-2584"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Tang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049172934"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":1.5567,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87389501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9836999773979187,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9836999773979187,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9589999914169312,"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"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9466000199317932,"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":0.7092698812484741},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5880486965179443},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39118334650993347},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3513895273208618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20501002669334412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7092698812484741},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5880486965179443},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39118334650993347},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3513895273208618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20501002669334412}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/wiopt66569.2025.11123371","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wiopt66569.2025.11123371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G2800729717","display_name":null,"funder_award_id":"62202214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2072430699","https://openalex.org/W2194775991","https://openalex.org/W2268702383","https://openalex.org/W2612193523","https://openalex.org/W2920031528","https://openalex.org/W2963347140","https://openalex.org/W2964095159","https://openalex.org/W3007673187","https://openalex.org/W3023838981","https://openalex.org/W3047565185","https://openalex.org/W3110777925","https://openalex.org/W3156792920","https://openalex.org/W3201651476","https://openalex.org/W4225632041","https://openalex.org/W4226443437","https://openalex.org/W4253871110","https://openalex.org/W4285179838","https://openalex.org/W4295308339","https://openalex.org/W4296285926","https://openalex.org/W4312910656","https://openalex.org/W4313887018","https://openalex.org/W4318612489","https://openalex.org/W4389545326"],"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":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"are":[4],"widely":[5],"applied":[6],"in":[7,37,190],"real-time":[8],"applications":[9],"on":[10],"resource-constrained":[11],"devices.":[12,27],"To":[13,53,112],"accelerate":[14],"CNN":[15],"inference,":[16,39],"prior":[17],"works":[18],"proposed":[19],"to":[20,44,86,128,187],"distribute":[21],"the":[22,45,67,73,92,114,130,168,173,191],"inference":[23,61,93,132,183],"workload":[24],"across":[25],"multiple":[26],"However,":[28],"they":[29],"did":[30],"not":[31],"address":[32,54],"stragglers":[33,109,194],"and":[34,48,79,81,110,119,145,195],"device":[35,196],"failures":[36],"distributed":[38,59],"which":[40],"is":[41],"challenging":[42],"due":[43],"devices'":[46],"time-varying":[47],"possibly":[49],"unknown":[50],"computation/communication":[51],"capacities.":[52],"this,":[55],"we":[56,122,137,155],"propose":[57],"a":[58,99,157],"coded":[60],"system,":[62],"called":[63],"CoCoI.":[64],"It":[65],"splits":[66],"convolutional":[68],"layers":[69],"of":[70,76,101,193],"CNN,":[71],"considering":[72],"data":[74],"dependency":[75],"high-dimensional":[77],"inputs":[78],"outputs,":[80],"then":[82],"adapts":[83],"coding":[84],"schemes":[85],"generate":[87],"task":[88],"redundancy.":[89],"With":[90],"CoCoI,":[91],"results":[94,165],"can":[95],"be":[96],"determined":[97],"once":[98],"subset":[100],"devices":[102],"complete":[103],"their":[104],"subtasks,":[105],"improving":[106],"robustness":[107],"against":[108],"failures.":[111,197],"model":[113],"theoretical":[115],"trade-off":[116],"between":[117],"redundancy":[118],"subtask":[120],"workload,":[121],"formulate":[123],"an":[124,139],"optimal":[125,174],"splitting":[126],"problem":[127],"minimize":[129],"expected":[131],"latency.":[133],"Despite":[134],"its":[135],"non-convexity,":[136],"determine":[138],"approximate":[140,169],"strategy":[141,170],"with":[142,159,178],"minor":[143],"errors":[144],"prove":[146],"that":[147,167],"CoCoI":[148,181],"outperforms":[149],"uncoded":[150,179],"benchmarks.":[151],"For":[152],"performance":[153],"evaluation,":[154],"build":[156],"testbed":[158],"Raspberry":[160],"Pi":[161],"4Bs.":[162],"The":[163],"experimental":[164],"show":[166],"closely":[171],"matches":[172],"solution.":[175],"When":[176],"compared":[177],"benchmarks,":[180],"reduces":[182],"latency":[184],"by":[185],"up":[186],"34.2":[188],"%":[189],"presence":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
