{"id":"https://openalex.org/W4390189438","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361412","title":"A Multi-Channel Composite Recommendation Method in Federated Learning","display_name":"A Multi-Channel Composite Recommendation Method in Federated Learning","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4390189438","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361412"},"language":"en","primary_location":{"id":"doi:10.1109/dasc/picom/cbdcom/cy59711.2023.10361412","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","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/A5100709711","display_name":"Shi Chen","orcid":"https://orcid.org/0000-0002-3524-3577"},"institutions":[{"id":"https://openalex.org/I4210110032","display_name":"Jiangsu Provincial Posts & Telecommunications Planning & Design Institute (China)","ror":"https://ror.org/01vg4mj91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210110032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Chen","raw_affiliation_strings":["State Grid Jiangsu Information & Telecommunication Company,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Information & Telecommunication Company,Nanjing,China","institution_ids":["https://openalex.org/I4210110032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090335612","display_name":"Qianmu Li","orcid":"https://orcid.org/0000-0002-0998-1517"},"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":"Qianmu Li","raw_affiliation_strings":["School of Computer Science ana Engineering Nanjing University of Science and Technology,Nanjing,China","School of Computer Science ana Engineering Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science ana Engineering Nanjing University of Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science ana Engineering Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341321","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-7028-4956"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["State Grid Smart Grid Research Institute Co.,Ltd. State Grid Key Laboratory of Information & Network Security,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Smart Grid Research Institute Co.,Ltd. State Grid Key Laboratory of Information & Network Security,Nanjing,China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048669237","display_name":"Xinjian Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110032","display_name":"Jiangsu Provincial Posts & Telecommunications Planning & Design Institute (China)","ror":"https://ror.org/01vg4mj91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210110032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinjian Zhao","raw_affiliation_strings":["State Grid Jiangsu Information & Telecommunication Company,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Jiangsu Information & Telecommunication Company,Nanjing,China","institution_ids":["https://openalex.org/I4210110032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024847643","display_name":"Hao Ge","orcid":"https://orcid.org/0000-0002-9548-4815"},"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":"Hao Ge","raw_affiliation_strings":["School of Computer Science ana Engineering Nanjing University of Science and Technology,Nanjing,China","School of Computer Science ana Engineering Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science ana Engineering Nanjing University of Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science ana Engineering Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113080230","display_name":"Nianzhe Li","orcid":null},"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":"Nianzhe Li","raw_affiliation_strings":["School of Computer Science ana Engineering Nanjing University of Science and Technology,Nanjing,China","School of Computer Science ana Engineering Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science ana Engineering Nanjing University of Science and Technology,Nanjing,China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science ana Engineering Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":"0698","last_page":"0705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.998199999332428,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9975000023841858,"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":0.8604398965835571},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4704137146472931},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4364500939846039},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43498626351356506},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4233195185661316},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.418349951505661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4060606360435486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39456450939178467},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36372679471969604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8604398965835571},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4704137146472931},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4364500939846039},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43498626351356506},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4233195185661316},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.418349951505661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4060606360435486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39456450939178467},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36372679471969604}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasc/picom/cbdcom/cy59711.2023.10361412","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","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":15,"referenced_works":["https://openalex.org/W2135598826","https://openalex.org/W2604662567","https://openalex.org/W2772021946","https://openalex.org/W2792839191","https://openalex.org/W2807021761","https://openalex.org/W2912351665","https://openalex.org/W2913560138","https://openalex.org/W2945827670","https://openalex.org/W3034364571","https://openalex.org/W3045200674","https://openalex.org/W3098087397","https://openalex.org/W3098923689","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3106439716"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W4285218279","https://openalex.org/W4386136067","https://openalex.org/W4286858940"],"abstract_inverted_index":{"There":[0],"are":[1,13],"various":[2],"data":[3,34,44],"security":[4,21,45],"risks":[5],"in":[6,110,134],"power":[7],"grid":[8],"systems,":[9],"and":[10,39,63,114,131,160,179,212],"recommendation":[11,57,101],"systems":[12],"a":[14,26,54,167],"good":[15],"solution":[16],"to":[17,66,80,82,103,127,172,186,210],"the":[18,33,43,93,98,105,119,124,129,135,140,146,176,182,188,193,197,200,207,214],"selection":[19,117],"of":[20,36,152,192,202],"strategies.":[22],"Federated":[23],"learning":[24,28,69],"is":[25],"machine":[27],"framework":[29],"that":[30],"can":[31,40],"protect":[32],"privacy":[35],"each":[37],"participant":[38],"effectively":[41],"solve":[42],"external":[46],"collaborative":[47,88,137,150],"training":[48],"modeling":[49],"challenges.":[50],"This":[51],"paper":[52],"proposed":[53],"flexible":[55],"implantable":[56],"algorithm":[58,73,102,126,198],"based":[59],"on":[60,70,86],"knowledge":[61,89,111,138],"graph":[62,112,141],"multi-channel":[64],"composite":[65,163],"enhance":[67],"federated":[68],"demand.":[71],"The":[72,162],"designs":[74],"three":[75,177],"different":[76],"feature":[77,158,190],"extraction":[78],"modules":[79],"learn":[81,104,128,211],"construct":[83],"multi-dimensional":[84],"features":[85],"multi-attribute":[87,136,149],"graphs.":[90],"Among":[91],"them,":[92],"distance":[94],"translation":[95],"module":[96,122,144,165],"utilizes":[97],"Trans":[99],"R":[100],"internal":[106],"semantic":[107],"structure":[108],"information":[109,133,151],"triples":[113],"terminal-security":[115,203],"policy":[116,154,204],"history;":[118],"random":[120],"walk":[121],"uses":[123],"Node2Vec":[125],"homogeneous":[130],"Structured":[132],"graph;":[139],"convolutional":[142,168],"network":[143,164],"learns":[145],"high-order":[147],"neighborhood":[148],"terminal/security":[153,194],"nodes":[155],"through":[156],"multi-layer":[157,208],"propagation":[159],"aggregation.":[161],"adopts":[166],"neural":[169],"network-like":[170],"operation":[171],"first":[173],"locally":[174],"optimize":[175],"modules,":[178],"then":[180],"extracts":[181],"highly":[183],"informative":[184],"elements":[185],"obtain":[187],"final":[189],"representation":[191],"policy.":[195],"Finally,":[196],"merges":[199],"vectors":[201],"pairs":[205],"into":[206],"perceptron":[209],"calculate":[213],"prediction":[215],"score":[216],"for":[217],"recommendation.":[218]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}