{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T13:32:13Z","timestamp":1792762333120,"version":"4.5.0"},"reference-count":66,"publisher":"Elsevier BV","issue":"8","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100015286","name":"Hebei Provincial Key Research Projects","doi-asserted-by":"publisher","award":["2023BAB083"],"award-info":[{"award-number":["2023BAB083"]}],"id":[{"id":"10.13039\/501100015286","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020760","name":"Sanya Yazhou Bay Science and Technology City","doi-asserted-by":"publisher","award":["SCKJ-JYRC-2022-76"],"award-info":[{"award-number":["SCKJ-JYRC-2022-76"]}],"id":[{"id":"10.13039\/100020760","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020760","name":"Sanya Yazhou Bay Science and Technology City","doi-asserted-by":"publisher","award":["SKJC-2022-PTDX-031"],"award-info":[{"award-number":["SKJC-2022-PTDX-031"]}],"id":[{"id":"10.13039\/100020760","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Processing & Management"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.ipm.2026.104938","type":"journal-article","created":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T10:45:54Z","timestamp":1779792354000},"page":"104938","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"title":["A secure federated feature selection framework for horizontally distributed medical data"],"prefix":"10.1016","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1492-1076","authenticated-orcid":false,"given":"Aminu Onimisi","family":"Abdulsalami","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farhad Soleimanian","family":"Gharehchopogh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed","family":"Abdullahi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamed Abd","family":"Elaziz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0419-4278","authenticated-orcid":false,"given":"Basheer A.","family":"Hassoon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4006-7029","authenticated-orcid":false,"given":"Shengwu","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ipm.2026.104938_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.111351","article-title":"An improved heterogeneous comprehensive learning symbiotic organism search for optimization problems","volume":"285","author":"Abdulsalami","year":"2024","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.ipm.2026.104938_b2","series-title":"Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms","author":"Back","year":"1996"},{"key":"10.1016\/j.ipm.2026.104938_b3","doi-asserted-by":"crossref","DOI":"10.1109\/TAI.2024.3436664","article-title":"Cost-efficient feature selection for horizontal federated learning","author":"Banerjee","year":"2024","journal-title":"IEEE Transactions on Artificial Intelligence"},{"key":"10.1016\/j.ipm.2026.104938_b4","doi-asserted-by":"crossref","unstructured":"Banerjee, Sourasekhar, Elmroth, Erik, & Bhuyan, Monowar (2021). Fed-FiS: A novel information-theoretic federated feature selection for learning stability. In International conference on neural information processing (pp. 480\u2013487).","DOI":"10.1007\/978-3-030-92307-5_56"},{"key":"10.1016\/j.ipm.2026.104938_b5","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1090\/S0002-9904-1954-09848-8","article-title":"The theory of dynamic programming","volume":"60","author":"Bellman","year":"1954","journal-title":"Bulletin of the American Mathematical Society"},{"key":"10.1016\/j.ipm.2026.104938_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2026.104798","article-title":"A distributed quantization mechanism for lightweight federated learning model in heterogeneous on-device AI networks","volume":"63","author":"Bibi","year":"2026","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b7","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.asoc.2015.01.035","article-title":"Distributed feature selection: An application to microarray data classification","volume":"30","author":"Bol\u00f3n-Canedo","year":"2015","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.ipm.2026.104938_b8","doi-asserted-by":"crossref","first-page":"1802","DOI":"10.1109\/TCBB.2018.2833482","article-title":"A distributed feature selection algorithm based on distance correlation with an application to microarrays","volume":"16","author":"Brankovic","year":"2018","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"key":"10.1016\/j.ipm.2026.104938_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.103934","article-title":"A hybrid feature fusion deep learning framework for multi-source medical image analysis","volume":"62","author":"Cao","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b10","doi-asserted-by":"crossref","first-page":"9937","DOI":"10.1109\/TVT.2022.3178612","article-title":"Federated feature selection for cyber-physical systems of systems","volume":"71","author":"Cassar\u00e1","year":"2022","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"10.1016\/j.ipm.2026.104938_b11","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.121736","article-title":"Multivariate wind speed forecasting with genetic algorithm-based feature selection and oppositional learning sparrow search","volume":"695","author":"Che","year":"2025","journal-title":"Information Sciences"},{"key":"10.1016\/j.ipm.2026.104938_b12","article-title":"Multi-agent swarm optimization with adaptive internal and external learning for complex consensus-based distributed optimization","author":"Chen","year":"2024","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.ipm.2026.104938_b13","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.compstruc.2014.03.007","article-title":"Symbiotic organisms search: a new metaheuristic optimization algorithm","volume":"139","author":"Cheng","year":"2014","journal-title":"Computers and Structures"},{"key":"10.1016\/j.ipm.2026.104938_b14","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.compbiolchem.2007.09.005","article-title":"Improved binary PSO for feature selection using gene expression data","volume":"32","author":"Chuang","year":"2008","journal-title":"Computational Biology and Chemistry"},{"key":"10.1016\/j.ipm.2026.104938_b15","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/3477.484436","article-title":"Ant system: optimization by a colony of cooperating agents","volume":"26","author":"Dorigo","year":"1996","journal-title":"IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)"},{"key":"10.1016\/j.ipm.2026.104938_b16","doi-asserted-by":"crossref","first-page":"225730","DOI":"10.1109\/ACCESS.2020.3045043","article-title":"Improved binary symbiotic organism search algorithm with transfer functions for feature selection","volume":"8","author":"Du","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.ipm.2026.104938_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.cose.2023.103675","article-title":"A feature selection based on genetic algorithm for intrusion detection of industrial control systems","volume":"139","author":"Fang","year":"2024","journal-title":"Computers & Security"},{"key":"10.1016\/j.ipm.2026.104938_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.103929","article-title":"PRoT-FL: A privacy-preserving and robust training manager for federated learning","volume":"62","author":"Gamiz","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111380","article-title":"Information gain ratio-based subfeature grouping empowers particle swarm optimization for feature selection","volume":"286","author":"Gao","year":"2024","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.ipm.2026.104938_b20","series-title":"Genetic algorithms and machine learning","author":"Goldberg","year":"1988"},{"key":"10.1016\/j.ipm.2026.104938_b21","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2024.107865","article-title":"A new filter feature selection algorithm for classification task by ensembling pearson correlation coefficient and mutual information","volume":"131","author":"Gong","year":"2024","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"10.1016\/j.ipm.2026.104938_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111960","article-title":"Improved Kepler optimization algorithm for enhanced feature selection in liver disease classification","volume":"297","author":"Houssein","year":"2024","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.ipm.2026.104938_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.110122","article-title":"A federated feature selection algorithm based on particle swarm optimization under privacy protection","volume":"260","author":"Hu","year":"2023","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.ipm.2026.104938_b24","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1109\/TAI.2022.3145333","article-title":"Multiparticipant federated feature selection algorithm with particle swarm optimization for imbalanced data under privacy protection","volume":"4","author":"Hu","year":"2022","journal-title":"IEEE Transactions on Artificial Intelligence"},{"key":"10.1016\/j.ipm.2026.104938_b25","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.neucom.2004.01.194","article-title":"Effective feature selection scheme using mutual information","volume":"63","author":"Huang","year":"2005","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ipm.2026.104938_b26","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104130","article-title":"Breaking data barriers in medical diagnosis with MSDGD framework based on Gaussian diffusion generation","volume":"62","author":"Jia","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b27","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpbup.2025.100177","article-title":"Feature selection based on mahalanobis distance for early parkinson disease classification","volume":"7","author":"Kadhim","year":"2025","journal-title":"Computer Methods and Programs in Biomedicine Update"},{"key":"10.1016\/j.ipm.2026.104938_b28","first-page":"1942","article-title":"Particle swarm optimization","volume":"Vol. 4","author":"Kennedy","year":"1995"},{"key":"10.1016\/j.ipm.2026.104938_b29","series-title":"Federated learning: Strategies for improving communication efficiency","author":"Kone\u010dn\u00fd","year":"2016"},{"key":"10.1016\/j.ipm.2026.104938_b30","doi-asserted-by":"crossref","first-page":"4393","DOI":"10.1007\/s11042-024-18802-y","article-title":"An efficient feature selection and classification system for microarray cancer data using genetic algorithm and deep belief networks","volume":"84","author":"Lawrence","year":"2025","journal-title":"Multimedia Tools and Applications"},{"key":"10.1016\/j.ipm.2026.104938_b31","doi-asserted-by":"crossref","first-page":"400","DOI":"10.3390\/biomimetics8050400","article-title":"Binarization of metaheuristics: Is the transfer function really important?","volume":"8","author":"Lemus-Romani","year":"2023","journal-title":"Biomimetics"},{"key":"10.1016\/j.ipm.2026.104938_b32","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2025.104148","article-title":"Quality-controllable automatic construction method of Chinese knowledge graph for medical decision-making applications","volume":"62","author":"Li","year":"2025","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b33","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/TEVC.2005.857610","article-title":"Comprehensive learning particle swarm optimizer for global optimization of multimodal functions","volume":"10","author":"Liang","year":"2006","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.ipm.2026.104938_b34","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2022.103217","article-title":"A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed gray wolf optimizer for feature selection","volume":"60","author":"Lin","year":"2023","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b35","series-title":"2024 IEEE international conference on smart computing","first-page":"166","article-title":"FMLFS: A federated multi-label feature selection based on information theory in IoT environment","author":"Mahanipour","year":"2024"},{"key":"10.1016\/j.ipm.2026.104938_b36","series-title":"2024 IEEE international conference on big data (bigData)","first-page":"7919","article-title":"Fuzzy federated multi-label feature selection: Reinforcement learning and ant colony optimization","author":"Mahanipour","year":"2024"},{"key":"10.1016\/j.ipm.2026.104938_b37","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2021.114887","article-title":"Symbiotic organisms search algorithm using random walk and adaptive Cauchy mutation on the feature selection of sleep staging","volume":"176","author":"Miao","year":"2021","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104938_b38","doi-asserted-by":"crossref","first-page":"1496","DOI":"10.1109\/TCYB.2016.2549639","article-title":"A micro-GA embedded PSO feature selection approach to intelligent facial emotion recognition","volume":"47","author":"Mistry","year":"2016","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.ipm.2026.104938_b39","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1142\/S0219622020500546","article-title":"Feature selection with binary symbiotic organisms search algorithm for email spam detection","volume":"20","author":"Mohammadzadeh","year":"2021","journal-title":"International Journal of Information Technology & Decision Making"},{"key":"10.1016\/j.ipm.2026.104938_b40","doi-asserted-by":"crossref","first-page":"9102","DOI":"10.1007\/s11227-021-03626-6","article-title":"An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems","volume":"77","author":"Mohmmadzadeh","year":"2021","journal-title":"Journal of Supercomputing"},{"key":"10.1016\/j.ipm.2026.104938_b41","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111375","article-title":"Breaking boundaries: Low-precision conditional mutual information for efficient feature selection","author":"Mor\u00e1n-Fern\u00e1ndez","year":"2025","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.ipm.2026.104938_b42","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.105885","article-title":"Feature selection with limited bit depth mutual information for portable embedded systems","volume":"197","author":"Moran-Fernandez","year":"2020","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.ipm.2026.104938_b43","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.129018","article-title":"An adaptation of hybrid binary optimization algorithms for medical image feature selection in neural network for classification of breast cancer","volume":"617","author":"Oyelade","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ipm.2026.104938_b44","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.103870","article-title":"Enhancing protection in high-dimensional data: Distributed differential privacy with feature selection","volume":"61","author":"Putrama","year":"2024","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b45","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s10586-024-04927-0","article-title":"V-shaped and S-shaped binary artificial protozoa optimizer (APO) algorithm for wrapper feature selection on biological data","volume":"28","author":"Seyyedabbasi","year":"2025","journal-title":"Cluster Computing"},{"key":"10.1016\/j.ipm.2026.104938_b46","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/0167-8655(89)90037-8","article-title":"A note on genetic algorithms for large-scale feature selection","volume":"10","author":"Siedlecki","year":"1989","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/j.ipm.2026.104938_b47","unstructured":"Srinivasan, Adethya, & Wu, Han (2026). FedEvolve: Evolutionary Tabular Data Synthesis in Vertical Federated Learning Systems. In AAAI 2026 workshop on shaping responsible synthetic data in the era of foundation models. Singapore."},{"key":"10.1016\/j.ipm.2026.104938_b48","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1008202821328","article-title":"Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces","volume":"11","author":"Storn","year":"1997","journal-title":"Journal of Global Optimization"},{"key":"10.1016\/j.ipm.2026.104938_b49","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1186\/s40537-025-01108-7","article-title":"Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights","volume":"12","author":"Taha","year":"2025","journal-title":"Journal of Big Data"},{"key":"10.1016\/j.ipm.2026.104938_b50","doi-asserted-by":"crossref","first-page":"5315","DOI":"10.52202\/068431-0384","article-title":"Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings","volume":"35","author":"Ogier du Terrail","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.ipm.2026.104938_b51","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2024.107374","article-title":"Multilevel semantic segmentation and optimal feature selection based convolution neural network (op-CNN) for breast cancer identification and classification using mammogram images","volume":"103","author":"Thakur","year":"2025","journal-title":"Biomedical Signal Processing and Control"},{"key":"10.1016\/j.ipm.2026.104938_b52","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123337","article-title":"An enhanced particle swarm optimization with position update for optimal feature selection","volume":"247","author":"Tijjani","year":"2024","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104938_b53","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1109\/TEVC.2018.2869405","article-title":"Variable-length particle swarm optimization for feature selection on high-dimensional classification","volume":"23","author":"Tran","year":"2018","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.ipm.2026.104938_b54","doi-asserted-by":"crossref","DOI":"10.1016\/j.compeleceng.2022.108553","article-title":"A binary Bi-phase mutation-based hybrid equilibrium optimizer for feature selection in medical datasets classification","volume":"105","author":"Vommi","year":"2023","journal-title":"Computers & Electrical Engineering"},{"key":"10.1016\/j.ipm.2026.104938_b55","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101486","article-title":"A multi-swarm optimizer with a reinforcement learning mechanism for large-scale optimization","volume":"86","author":"Wang","year":"2024","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.ipm.2026.104938_b56","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2026.104858","article-title":"LSFL: A lightweight and secure federated learning scheme for internet of vehicles","volume":"63","author":"Wei","year":"2026","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b57","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1504\/IJBIC.2018.093334","article-title":"Hybrid symbiotic organisms search algorithm for solving 0-1 knapsack problem","volume":"12","author":"Wu","year":"2018","journal-title":"International Journal of Bio-Inspired Computation"},{"key":"10.1016\/j.ipm.2026.104938_b58","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2026.104686","article-title":"Clinical data-driven preliminary screening for alzheimer\u2019s disease via integrated imputation and evolutionary feature selection","volume":"63","author":"Xu","year":"2026","journal-title":"Information Processing & Management"},{"key":"10.1016\/j.ipm.2026.104938_b59","doi-asserted-by":"crossref","DOI":"10.1016\/j.swevo.2024.101760","article-title":"A novel importance-guided particle swarm optimization based on mlp for solving large-scale feature selection problems","volume":"91","author":"Xue","year":"2024","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.1016\/j.ipm.2026.104938_b60","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.asoc.2013.09.018","article-title":"Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms","volume":"18","author":"Xue","year":"2014","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.ipm.2026.104938_b61","article-title":"HBOFFS: Hybrid breeding optimization algorithm inspired federated feature selection for intrusion detection in iIoT","author":"Ye","year":"2025","journal-title":"Knowledge-Based Systems"},{"key":"10.1016\/j.ipm.2026.104938_b62","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125404","article-title":"Multi-population differential evolution approach for feature selection with mutual information ranking","volume":"260","author":"Yu","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.ipm.2026.104938_b63","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1049\/cit2.12122","article-title":"An embedded vertical-federated feature selection algorithm based on particle swarm optimisation","volume":"8","author":"Zhang","year":"2023","journal-title":"CAAI Transactions on Intelligence Technology"},{"key":"10.1016\/j.ipm.2026.104938_b64","doi-asserted-by":"crossref","first-page":"10095","DOI":"10.1109\/JIOT.2023.3237032","article-title":"Federated feature selection for horizontal federated learning in iot networks","volume":"10","author":"Zhang","year":"2023","journal-title":"IEEE Internet of Things Journal"},{"key":"10.1016\/j.ipm.2026.104938_b65","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2024.120913","article-title":"An adaptive strategy based multi-population multi-objective optimization algorithm","volume":"686","author":"Zhao","year":"2025","journal-title":"Information Sciences"},{"key":"10.1016\/j.ipm.2026.104938_b66","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2024.103804","article-title":"CMACF: Transformer-based cross-modal attention cross-fusion model for systemic lupus erythematosus diagnosis combining Raman spectroscopy, FTIR spectroscopy, and metabolomics","volume":"61","author":"Zhou","year":"2024","journal-title":"Information Processing & Management"}],"container-title":["Information Processing & Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326003298?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306457326003298?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T11:36:54Z","timestamp":1788262614000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306457326003298"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":66,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2026,12]]}},"alternative-id":["S0306457326003298"],"URL":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104938","relation":{},"ISSN":["0306-4573"],"issn-type":[{"value":"0306-4573","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A secure federated feature selection framework for horizontally distributed medical data","name":"articletitle","label":"Article Title"},{"value":"Information Processing & Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ipm.2026.104938","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"104938"}}