{"id":"https://openalex.org/W4410049246","doi":"https://doi.org/10.1145/3722570.3726898","title":"PluralLLM: Pluralistic Alignment in LLMs via Federated Learning","display_name":"PluralLLM: Pluralistic Alignment in LLMs via Federated Learning","publication_year":2025,"publication_date":"2025-05-03","ids":{"openalex":"https://openalex.org/W4410049246","doi":"https://doi.org/10.1145/3722570.3726898"},"language":"en","primary_location":{"id":"doi:10.1145/3722570.3726898","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722570.3726898","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 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3722570.3726898","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117419829","display_name":"Mahmoud Srewa","orcid":"https://orcid.org/0009-0004-4795-4116"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Srewa","raw_affiliation_strings":["University of California, Irvine"],"raw_orcid":"https://orcid.org/0009-0004-4795-4116","affiliations":[{"raw_affiliation_string":"University of California, Irvine","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117419830","display_name":"Tianyu Zhao","orcid":"https://orcid.org/0009-0000-3139-4872"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyu Zhao","raw_affiliation_strings":["University of California, Irvine"],"raw_orcid":"https://orcid.org/0009-0000-3139-4872","affiliations":[{"raw_affiliation_string":"University of California, Irvine","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038820344","display_name":"Salma Elmalaki","orcid":"https://orcid.org/0000-0002-0969-0197"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salma Elmalaki","raw_affiliation_strings":["University of California, Irvine"],"raw_orcid":"https://orcid.org/0000-0002-0969-0197","affiliations":[{"raw_affiliation_string":"University of California, Irvine","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"64","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.902400016784668,"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":0.902400016784668,"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/computer-science","display_name":"Computer science","score":0.5648853182792664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5648853182792664}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3722570.3726898","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722570.3726898","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 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3722570.3726898","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722570.3726898","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 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W4364302664","https://openalex.org/W4400189260","https://openalex.org/W4400189286","https://openalex.org/W4401863415","https://openalex.org/W4401863519"],"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":{"Ensuring":[0],"Large":[1],"Language":[2],"Models":[3],"(LLMs)":[4],"align":[5],"with":[6,127],"diverse":[7,128],"human":[8,129],"preferences":[9],"while":[10],"preserving":[11],"privacy":[12],"and":[13,37,94,121],"fairness":[14,99],"remains":[15],"a":[16,42,54,67,88,107,119],"challenge.":[17],"Existing":[18],"methods,":[19],"such":[20],"as":[21,66,101],"Reinforcement":[22],"Learning":[23],"from":[24],"Human":[25],"Feedback":[26],"(RLHF),":[27],"rely":[28],"on":[29,106],"centralized":[30,103],"data":[31],"collection,":[32],"making":[33],"them":[34],"computationally":[35],"expensive":[36],"privacy-invasive.":[38],"We":[39],"introduce":[40],"PluralLLM1":[41],"federated":[43,115],"learning-based":[44],"approach":[45],"that":[46,114],"enables":[47],"multiple":[48],"user":[49],"groups":[50],"to":[51,79],"collaboratively":[52],"train":[53],"transformer-based":[55],"preference":[56,81,109,116],"predictor":[57],"without":[58],"sharing":[59],"sensitive":[60],"data,":[61],"which":[62],"can":[63],"also":[64],"serve":[65],"reward":[68],"model":[69],"for":[70,124],"aligning":[71,125],"LLMs.":[72],"Our":[73],"method":[74],"leverages":[75],"Federated":[76],"Averaging":[77],"(FedAvg)":[78],"aggregate":[80],"updates":[82],"efficiently,":[83],"achieving":[84],"46%":[85],"faster":[86],"convergence,":[87],"4%":[89],"improvement":[90],"in":[91,102],"alignment":[92,110],"scores,":[93],"nearly":[95],"the":[96],"same":[97],"group":[98],"measure":[100],"training.":[104],"Evaluated":[105],"Q/A":[108],"task,":[111],"PluralLLM":[112],"demonstrates":[113],"learning":[117],"offers":[118],"scalable":[120],"privacy-preserving":[122],"alternative":[123],"LLMs":[126],"values.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
