| 2026-10-23 | Multimodal continual federated learning for human activity recognition: Trends and challenges | Applied Intelligence | André L. S. Conde, Rodolfo I. Meneguette, Robson E. De Grande et al. | Universidade Estadual Paulista (Unesp); Institute of Mathematics and Computer Science; Brock University |
| 2026-10-23 | Synergizing Disentangled Representation and Split Federated Learning to Break Centralized Bottlenecks in Gaze Estimation | International Journal of Computer Vision | Yunlong Wang, Zhengquan Luo, Kunbo Zhang et al. | Nanyang Technological University; Chinese Academy of Sciences; Institute of Automation; … |
| 2026-10-22 | Survey on intelligent video surveillance | Journal Of Big Data | Mahmoud Elnady, Hossam E. Abdelmunim, Diaa Abidou et al. | Ain Shams University |
| 2026-10-21 | Toward unified intelligence in renewable-dominant power systems: a survey of hybrid forecasting, explainable AI, and multi-agent optimization | Artificial Intelligence Review | Tariq Ali, Muzna Sarwar, Husam S. Samkari et al. | University of Tabuk; Islamia University of Bahawalpur; Najran University |
| 2026-10-16 | FedSTHG: A federated learning framework via spatiotemporal hypergraphs for multi-center brain disease diagnosis | Expert Systems with Applications | Xinyue Yu, Yating Li, Zhenhao Chu et al. | |
| 2026-10-15 | Platform-free proof of federated learning consensus blockchain with optimized neural network-based electronic health records storage and sharing scheme | Knowledge and Information Systems | M Lavanya | |
| 2026-10-14 | Mitigating domain shift in federated learning via intra- and inter-domain prototypes | Pattern Recognition | Huy Q. Le, Ye Lin Tun, Yu Qiao et al. | Kyung Hee University; University of Da Nang; Viện Khoa học và Công nghệ số |
| 2026-10-14 | Federated multi-view information fusion based on prototype and feature distillation: A privacy-performance tradeoff method for data heterogeneity | Information Fusion | Hui Lin, Tianyi Zhou, Jingjing Guo et al. | Fujian Normal University; Xidian University; Xi'an Jiaotong University |
| 2026-10-13 | Unified dual-decoder autoencoder for federated multi-modal clustering with arbitrary modality missingness | Neural Networks | Zhenhao Xu, Huazhu Chen, Weiwei Wang et al. | Zhongyuan University of Technology; Xidian University; Xinzhou Teachers University |
| 2026-10-10 | BANAR: Self-feedback stealthy backdoor attack in federated learning | Knowledge-Based Systems | Yu Qiao Deng, Yuling Mu, Songlei Wang et al. | Yanshan University |
| 2026-10-10 | Comprehensive review of GANs and diffusion models in multimodal 3D medical image conversion | Pattern Recognition | Nan Jiang, 李皓塱, Xiao Teng et al. | Central South University; Hunan Children's Hospital; National University of Defense Technology; … |
| 2026-10-09 | Mitigating data reconstruction attacks in federated learning: Conditions, bounds, and theoretical guarantees | Artificial Intelligence | Xiaojin Zhang, Mingcong Xu, Wei Chen et al. | Huazhong University of Science and Technology; Hong Kong Polytechnic University |
| 2026-10-03 | An intelligent cybersecurity framework for banking systems: integrating neural networks, large language models, and federated learning for anti-money laundering and fraud detection | Future Business Journal | Tanvir Sajid, Sajida Hafeez | National Textile University |
| 2026-10-02 | A privacy-preserving distributed credit evaluation model based on blockchain | Annals of Operations Research | Xianhua Kuang, Chaoqun Ma, Konstantinos N. Baltas et al. | University of Essex; University of Auckland |
| 2026-10-01 | FedLDC-Lite: Lightweight counterfactual learning for federated multimodal object detection at the edge | Pattern Recognition | Xiuheng Liao, Weiyu Wang, Ziang Wu et al. | University of Aizu; Hosei University; La Trobe University |
| 2026-10-01 | OADPC-HSSA: Observation-Aware Dynamic Privacy Control for Federated Learning with Hierarchical Shuffling and Secure Aggregation | Expert Systems with Applications | Jianli Xie, Zishan Wu, Bing Bu et al. | Lanzhou Jiaotong University; Beijing Jiaotong University |
| 2026-10-01 | A heterogeneity-aware federated explainable visual learning framework for robust email malware detection | Neural Computing and Applications | G. Shanmuga Priya, V. R. S. Mani, C. Chellaswamy | |
| 2026-10-01 | Privacy protection of multi-source data combined with homomorphic encryption within a federated learning framework | Neural Computing and Applications | Shuhui Wang, Xiaochen Jia | Shandong University of Art and Design; Shandong University |
| 2026-10-01 | MMT: Achieving Exact Federated Unlearning with Improved Post-unlearning Performance | Machine Learning | Z. Zhang, Nhung Bui, Arun Verma et al. | National University of Singapore; Singapore-MIT Alliance for Research and Technology |
| 2026-10-01 | FedGPA: a multi-level aggregation framework for federated learning with collaborative optimization of generalization and personalization | Applied Intelligence | Zigang Chen, Haichong Jiang, Deyang Xie et al. | Chongqing University of Posts and Telecommunications |
| 2026-10-01 | FedHybrid-ViT: A Federated-Hybrid Framework for Generalizable Deepfake Detection on Heterogeneous Data | Machine Learning | Abdullah Mohammad Sakib, Md. Mohashin Hossain, Mahedy Hasan Foysal et al. | International University of Business Agriculture and Technology; Dhaka International University; United International University |
| 2026-10-01 | Bio-inspired reinforcement federated optimization for energy-aware and privacy-preserving healthcare systems | Neural Computing and Applications | Geetha G, N. Ramshankar | Saveetha University |
| 2026-10-01 | Collaborative encryption-based machine learning model training method and data protection software system construction | Neural Computing and Applications | Dianqing Bao, Wen Su | |