{"id":"https://openalex.org/W4416251512","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228782","title":"On The Impact of Different Batch Sizes on Byzantine Robustness in Federated Learning","display_name":"On The Impact of Different Batch Sizes on Byzantine Robustness in Federated Learning","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251512","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228782"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5020581113","display_name":"Xinjian Huang","orcid":"https://orcid.org/0000-0001-8956-7326"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinjian Huang","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034266481","display_name":"Yuyang Wei","orcid":"https://orcid.org/0000-0002-3200-8598"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Wei","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101271960","display_name":"Yunxuan Li","orcid":"https://orcid.org/0009-0009-9742-0637"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxuan Li","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112930680","display_name":"Yishuo Zhao","orcid":"https://orcid.org/0009-0000-6586-9872"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yishuo Zhao","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Cyber Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I4210099437","display_name":"Hubei University Of Economics","ror":"https://ror.org/012a84b59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099437"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Multimedia and Network Communication Engineering,Wuhan,China","institution_ids":["https://openalex.org/I4210099437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020581113"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19475664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.7713000178337097,"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":0.7713000178337097,"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":0.07289999723434448,"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":0.07240000367164612,"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/robustness","display_name":"Robustness (evolution)","score":0.7742000222206116},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6661999821662903},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.6014999747276306},{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.43630000948905945},{"id":"https://openalex.org/keywords/byzantine-fault-tolerance","display_name":"Byzantine fault tolerance","score":0.4131999909877777},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.39809998869895935}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7742000222206116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419999837875366},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6661999821662903},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.6014999747276306},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5098999738693237},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.43630000948905945},{"id":"https://openalex.org/C168021876","wikidata":"https://www.wikidata.org/wiki/Q1353446","display_name":"Byzantine fault tolerance","level":3,"score":0.4131999909877777},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.39809998869895935},{"id":"https://openalex.org/C172658912","wikidata":"https://www.wikidata.org/wiki/Q661613","display_name":"Batch processing","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36340001225471497},{"id":"https://openalex.org/C17532199","wikidata":"https://www.wikidata.org/wiki/Q17083590","display_name":"Quantum Byzantine agreement","level":4,"score":0.3562999963760376},{"id":"https://openalex.org/C104562893","wikidata":"https://www.wikidata.org/wiki/Q47591","display_name":"Byzantine architecture","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C62644790","wikidata":"https://www.wikidata.org/wiki/Q3454689","display_name":"Variance reduction","level":3,"score":0.27309998869895935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1753414968","https://openalex.org/W2399587145","https://openalex.org/W2963156201","https://openalex.org/W2981860227","https://openalex.org/W3046449784","https://openalex.org/W3048392890","https://openalex.org/W3096562082","https://openalex.org/W3097490775","https://openalex.org/W4213446860","https://openalex.org/W4252654521","https://openalex.org/W4308463458","https://openalex.org/W4322771378","https://openalex.org/W4365420716","https://openalex.org/W4366957444","https://openalex.org/W4381956520","https://openalex.org/W4391020267","https://openalex.org/W4393156150","https://openalex.org/W4395056468"],"related_works":[],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"Byzantine":[3,42,82,99,150],"attacks":[4,151],"within":[5],"the":[6,22,36,75,85,98,102,147,160,163,168],"federal":[7],"learning":[8],"(FL)":[9],"framework":[10],"have":[11],"received":[12],"a":[13,49,91,121,133],"great":[14],"deal":[15],"of":[16,24,38,77,101,149,162,170],"attention.":[17],"Existing":[18],"results":[19,158],"indicate":[20],"that":[21,125,141],"integration":[23],"variance-reduced":[25],"stochastic":[26],"optimization":[27],"algorithms":[28],"with":[29,120],"specifically":[30],"tailored":[31],"aggregation":[32,165],"methods":[33],"can":[34],"enhance":[35,97],"resilience":[37],"FL":[39,86,103],"systems":[40],"to":[41,96,112,153],"attacks.":[43],"However,":[44],"most":[45],"existing":[46],"studies":[47],"adopt":[48],"fixed":[50],"batch":[51,79,110],"size":[52],"for":[53,67],"all":[54],"participating":[55],"nodes":[56],"when":[57,105],"updating":[58],"their":[59,114,154],"local":[60,115],"parameters,":[61],"which":[62],"may":[63],"not":[64],"be":[65],"suitable":[66],"real-world":[68],"applications.":[69],"This":[70],"paper":[71],"mainly":[72],"focuses":[73],"on":[74,81],"impact":[76],"different":[78,106,109],"sizes":[80,111],"robustness":[83,100],"in":[84,146],"system.":[87],"Specifically,":[88],"we":[89,131,139],"propose":[90],"(\u03b4,c)-Weighed-Agnostic":[92],"Robust":[93],"Aggregator":[94],"((\u03b4,c)-WARAgg)":[95],"system":[104],"clients":[107],"employ":[108],"update":[113],"parameters.":[116],"By":[117],"combining":[118],"(\u03b4,c)-WARAgg":[119],"novel":[122],"Byzantine-tolerant":[123],"method":[124],"integrates":[126],"variance":[127],"reduction":[128],"and":[129,167],"compression,":[130],"develop":[132],"Byzantine-robust":[134],"algorithm,":[135],"termed":[136],"Byz-VR-MARINA-DB.":[137],"Theoretically,":[138],"prove":[140],"Byz-VR-MARINA-DB":[142],"exhibit":[143],"superior":[144],"performance":[145],"presence":[148],"compared":[152],"original":[155],"counterparts.":[156],"Empirical":[157],"corroborate":[159],"effectiveness":[161],"proposed":[164],"rule":[166],"correctness":[169],"our":[171],"theoretical":[172],"findings.":[173]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}