{"id":"https://openalex.org/W4413180872","doi":"https://doi.org/10.1109/gcwkshp64532.2024.11101104","title":"Mitigating Stragglers in Distributed Learning: A Novel Framework with Gradient Coding","display_name":"Mitigating Stragglers in Distributed Learning: A Novel Framework with Gradient Coding","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4413180872","doi":"https://doi.org/10.1109/gcwkshp64532.2024.11101104"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshp64532.2024.11101104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshp64532.2024.11101104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100375444","display_name":"Jiale Wang","orcid":"https://orcid.org/0009-0006-3916-1209"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiale Wang","raw_affiliation_strings":["Dalian Maritime University,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,Dalian,China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000318076","display_name":"Jiahong Ning","orcid":"https://orcid.org/0000-0003-2796-6887"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahong Ning","raw_affiliation_strings":["Dalian Maritime University,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,Dalian,China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111340629","display_name":"Zechen He","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechen He","raw_affiliation_strings":["Dalian Maritime University,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,Dalian,China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045329560","display_name":"Jian Zhao","orcid":"https://orcid.org/0000-0003-2140-1236"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhao","raw_affiliation_strings":["Dalian Maritime University,Dalian,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,Dalian,China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108905423","display_name":"Tingting Yang","orcid":"https://orcid.org/0000-0003-0366-4307"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Yang","raw_affiliation_strings":["Peng Cheng Laboratory,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9940999746322632,"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":0.9940999746322632,"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":0.9869999885559082,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9797999858856201,"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":0.7398552894592285},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5109190344810486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7398552894592285},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5109190344810486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshp64532.2024.11101104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshp64532.2024.11101104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2100029898","https://openalex.org/W2589571058","https://openalex.org/W2757498728","https://openalex.org/W2766845249","https://openalex.org/W2962788286","https://openalex.org/W3006610112","https://openalex.org/W3113365447","https://openalex.org/W3134083542","https://openalex.org/W3189317289","https://openalex.org/W4360764618","https://openalex.org/W4399939556","https://openalex.org/W4405440133","https://openalex.org/W4408325611","https://openalex.org/W6742061381"],"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":{"The":[0,127],"performance":[1],"of":[2,37,85,100,149],"distributed":[3,59],"learning":[4,60],"in":[5,27],"multi-access":[6],"edge":[7,101],"computing":[8],"networks":[9],"is":[10,143],"hindered":[11],"by":[12,16,51],"slow":[13],"convergence":[14],"caused":[15],"unstable":[17],"communication":[18,111,167],"links,":[19],"heterogeneity":[20,42],"among":[21],"client":[22],"devices,":[23],"and":[24,35,43,78,90,98,112,124,169,182],"stochastic":[25],"fluctuations":[26],"computational":[28,88,113,125],"power.":[29],"This":[30],"paper":[31],"analyzes":[32],"the":[33,48,83,96,147,160],"types":[34],"causes":[36],"dropouts,":[38],"considering":[39],"both":[40,180],"device":[41],"link":[44,120],"instability.":[45],"To":[46],"address":[47],"challenges":[49,117],"posed":[50],"stragglers,":[52,86],"we":[53,104],"propose":[54],"a":[55,106,131],"novel":[56],"framework":[57,129],"for":[58,134],"that":[61,109,159],"does":[62],"not":[63],"rely":[64],"on":[65,95,179],"prior":[66],"information":[67],"about":[68],"connectivity":[69],"or":[70],"dataset":[71],"sharing.":[72],"Our":[73],"approach":[74],"employs":[75],"gradient":[76,137],"sharing":[77],"coding":[79,138,151,163],"strategies":[80,164],"to":[81,145,174],"mitigate":[82],"impact":[84],"reducing":[87],"overhead":[89],"enabling":[91],"dynamic":[92],"adjustments":[93],"based":[94],"availability":[97],"capabilities":[99],"nodes.":[102],"Additionally,":[103],"develop":[105],"runtime":[107],"model":[108,171],"incorporates":[110],"delays,":[114],"addressing":[115],"critical":[116],"such":[118],"as":[119],"outages,":[121],"timeout":[122],"thresholds,":[123],"heterogeneity.":[126],"proposed":[128,161],"provides":[130],"robust":[132],"foundation":[133],"designing":[135],"adaptive":[136],"techniques.":[139],"An":[140],"artificial":[141],"delay":[142],"introduced":[144],"evaluate":[146],"effectiveness":[148],"various":[150],"schemes":[152],"under":[153],"high-latency":[154],"conditions.":[155],"Experimental":[156],"results":[157],"demonstrate":[158],"partial":[162],"significantly":[165],"reduce":[166],"rounds":[168],"improve":[170],"accuracy":[172],"compared":[173],"baseline":[175],"methods,":[176],"proving":[177],"effective":[178],"real-world":[181],"synthetic":[183],"datasets.":[184]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}