Federated learning-based semantic segmentation framework for sustainable development by Deepthi Godavarthi, Deepa Jose, Sachi Nandan Mohanty, Mohamed Medani, Mohamed Kallel, Sherzod Abdullaev, M. Ijaz Khan

Subjects: “…Federated learning…”
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Towards digital health: Integrating federated learning and crowdsensing through the Contigo app by Daniel Flores-Martin, Sergio Laso, Javier Berrocal, Juan M. Murillo

Subjects: “…Federated learning…”
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Hierarchical Service Composition via Blockchain-enabled Federated Learning by Li Huang, Lu Zhao, Yansong Liu, Yao Zhao

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Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework by Khadija Pervez, Syed Irfan Sohail, Faiza Parwez, Muhammad Abdullah Zia

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Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks by Amarudin Daulay, Kalamullah Ramli, Ruki Harwahyu, Taufik Hidayat, Bernardi Pranggono

Subjects: “…federated learning…”
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Federated learning with integrated attention multiscale model for brain tumor segmentation by Sherly Alphonse, Fidal Mathew, K. Dhanush, V. Dinesh

Subjects: “…Federated learning…”
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A Blockchain-based federated learning framework for secure aggregation and fair incentives by XiaoHui Yang, TianChang Li

Subjects: “…Federated learning…”
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Malicious code within model detection method based on model similarity by Degang WANG, Yi SUN, Chuanxin ZHOU, Qi GAO, Fan YANG

Subjects: “…federated learning…”
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Attacks and countermeasures on federated learning via historical knowledge modeling by Songsong Zhang, Zhengliang Jiang, Hang Gao, Suying Gui, Tiegang Gao

Subjects: “…Federated learning…”
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A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy by Jiechen Sun, Funa Zhou, Jie Chen, Chaoge Wang, Xiong Hu, Tianzhen Wang

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Federated Learning for a Dynamic Edge: A Modular and Resilient Approach by Leonardo Almeida, Rafael Teixeira, Gabriele Baldoni, Mário Antunes, Rui L. Aguiar

Subjects: “…federated learning…”
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Verifiable secure aggregation scheme for privacy protection in federated learning networks by Wujun Yao, Tanping Zhou, Yiliang Han, Xiaolin Wang

Subjects: “…Federated learning…”
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A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT by Innocent Boakye Ababio, Jan Bieniek, Mohamed Rahouti, Thaier Hayajneh, Mohammed Aledhari, Dinesh C. Verma, Abdellah Chehri

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Norm-Based Outlier Filtering and Consensus Aggregation for Robust Federated Learning by Hasung Yeo, Joon-Woo Lee

Subjects: “…Federated learning…”
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Privacy-Preserving Detection of Tampered Radio-Frequency Transmissions Utilizing Federated Learning in LoRa Networks by Nurettin Selcuk Senol, Mohamed Baza, Amar Rasheed, Maazen Alsabaan

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Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning by Sandi Rahmadika, Winda Agustiarmi, Ryan Fikri, Bruno Joachim Kweka

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Based on model randomization and adaptive defense for federated learning schemes by Gaofeng Yue, Xiaowei Han

Subjects: “…Federated learning…”
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Construction of a Deep Learning Model for Unmanned Aerial Vehicle-Assisted Safe Lightweight Industrial Quality Inspection in Complex Environments by Zhongyuan Jing, Ruyan Wang

Subjects: “…federated learning…”
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FedCVG: a two-stage robust federated learning optimization algorithm by Runze Zhang, Yang Zhang, Yating Zhao, Bin Jia, Wenjuan Lian

Subjects: “…Federated learning…”
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Semantic communication networking for the intelligence of everything by Guangming SHI, Yong XIAO, Yingyu LI, Dahua GAO, Xuemei XIE

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