{"id":"https://openalex.org/W4406911275","doi":"https://doi.org/10.1007/s42484-025-00243-x","title":"Application of quantum-inspired tensor networks to optimize federated learning systems","display_name":"Application of quantum-inspired tensor networks to optimize federated learning systems","publication_year":2025,"publication_date":"2025-01-28","ids":{"openalex":"https://openalex.org/W4406911275","doi":"https://doi.org/10.1007/s42484-025-00243-x"},"language":"en","primary_location":{"id":"doi:10.1007/s42484-025-00243-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-025-00243-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-025-00243-x.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42484-025-00243-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061460713","display_name":"Amandeep Singh Bhatia","orcid":"https://orcid.org/0000-0002-4891-6160"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amandeep Singh Bhatia","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013153650","display_name":"Mandeep Kaur Saggi","orcid":"https://orcid.org/0000-0003-1428-6073"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mandeep Kaur Saggi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017775824","display_name":"Sabre Kais","orcid":"https://orcid.org/0000-0003-0574-5346"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sabre Kais","raw_affiliation_strings":["Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, 27606, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017775824","https://openalex.org/A5061460713"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":15.3129,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.98767564,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9998999834060669,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9998999834060669,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9980999827384949,"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/T10020","display_name":"Quantum Information and Cryptography","score":0.9977999925613403,"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":0.5762662887573242},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5354310274124146},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4549928605556488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4019855856895447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16855588555335999},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15767619013786316},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.10871139168739319},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.06689402461051941}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5762662887573242},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5354310274124146},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4549928605556488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4019855856895447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16855588555335999},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15767619013786316},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.10871139168739319},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.06689402461051941}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42484-025-00243-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-025-00243-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-025-00243-x.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42484-025-00243-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42484-025-00243-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42484-025-00243-x.pdf","source":{"id":"https://openalex.org/S4210217596","display_name":"Quantum Machine Intelligence","issn_l":"2524-4906","issn":["2524-4906","2524-4914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7811879989","display_name":null,"funder_award_id":"DE-SC0019215","funder_id":"https://openalex.org/F4320337480","funder_display_name":"Basic Energy Sciences"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320310013","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06"},{"id":"https://openalex.org/F4320337480","display_name":"Basic Energy Sciences","ror":"https://ror.org/05mg91w61"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406911275.pdf","grobid_xml":"https://content.openalex.org/works/W4406911275.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2046694148","https://openalex.org/W2794602324","https://openalex.org/W2797105324","https://openalex.org/W2841500134","https://openalex.org/W2912516940","https://openalex.org/W2942828225","https://openalex.org/W3091811465","https://openalex.org/W3098662938","https://openalex.org/W3100993774","https://openalex.org/W3104703121","https://openalex.org/W3145084628","https://openalex.org/W3155912831","https://openalex.org/W3159080474","https://openalex.org/W3163800963","https://openalex.org/W3190586500","https://openalex.org/W3202201013","https://openalex.org/W3209696639","https://openalex.org/W4210600166","https://openalex.org/W4283643672","https://openalex.org/W4284967345","https://openalex.org/W4312950667","https://openalex.org/W4313293044","https://openalex.org/W4383217779","https://openalex.org/W4384830735","https://openalex.org/W4386023036","https://openalex.org/W4386947892","https://openalex.org/W4390013607","https://openalex.org/W4396738710","https://openalex.org/W4396980734","https://openalex.org/W4399121204","https://openalex.org/W4399541927","https://openalex.org/W4403822435","https://openalex.org/W4404001581"],"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":{"Abstract":[0],"Federated":[1],"learning":[2,39,129],"(FL)":[3],"has":[4],"gained":[5],"significant":[6],"traction":[7],"across":[8,115],"diverse":[9],"industries,":[10],"which":[11],"allows":[12],"multiple":[13],"clients":[14],"or":[15],"institutions":[16],"to":[17,138],"enhance":[18],"model":[19],"performance":[20,183],"and":[21,75,117,141,155,161,167],"outcomes":[22],"while":[23],"preserving":[24],"data":[25,113,143],"privacy":[26],"collaboratively.":[27],"In":[28],"recent":[29],"years,":[30],"tensor":[31,88,104,126],"networks":[32],"(TNs)":[33],"have":[34,84,180],"become":[35],"important":[36],"in":[37,62,107,147,175],"machine":[38],"because":[40,68],"they":[41],"allow":[42],"the":[43,91,139,153,169,194],"compact":[44],"representation":[45],"of":[46,60,69,157,171],"high-dimensional":[47],"tensors":[48],"by":[49,79],"decomposing":[50],"them":[51],"into":[52,90],"lower-dimensional":[53],"components":[54],"with":[55,112],"polynomial":[56],"complexity.":[57],"The":[58],"application":[59],"TNs":[61],"FL":[63,92,176],"is":[64,136],"a":[65,86,98,108],"natural":[66],"extension":[67],"its":[70,182],"flexible":[71],"framework":[72,95],"for":[73,186],"representing":[74],"optimizing":[76],"models.":[77],"Inspired":[78],"quantum":[80,173],"computing":[81],"principles,":[82],"we":[83,179],"integrated":[85],"quantum-inspired":[87,159],"network":[89,105],"framework.":[93],"This":[94],"focuses":[96],"on":[97],"one-dimensional":[99],"matrix":[100],"product":[101],"state":[102],"(MPS)":[103],"(TN)":[106],"federated":[109,128],"setting":[110],"(FedTN),":[111],"distributed":[114],"homogeneous":[116],"heterogeneous":[118],"partitions":[119],"among":[120],"clients.":[121],"Our":[122,150],"experiments":[123],"demonstrate":[124],"that":[125],"network-based":[127],"can":[130],"be":[131],"made":[132],"practical,":[133],"as":[134],"FedTN":[135],"robust":[137],"unbalanced":[140],"non-IID":[142],"distributions":[144],"typically":[145],"encountered":[146],"such":[148],"settings.":[149,177],"research":[151],"assessed":[152],"effectiveness":[154],"feasibility":[156],"comparing":[158],"TN":[160],"conventional":[162],"methods,":[163],"evaluating":[164],"their":[165],"performance,":[166],"exploring":[168],"benefits":[170],"incorporating":[172],"principles":[174],"Furthermore,":[178],"investigated":[181],"when":[184],"training":[185],"many":[187],"local":[188],"epochs":[189],"(large":[190],"E":[191],")":[192],"between":[193],"averaging":[195],"steps.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}
