Advancements in training and deployment strategies for AI-based intrusion detection systems in IoT: a systematic literature review by S. Kumar Reddy Mallidi, Rajeswara Rao Ramisetty

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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

Subjects: “…Federated Learning…”
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Federated learning and information sharing between competitors with different training effectiveness by Jiajun Meng, Jing Chen, Dongfang Zhao

Subjects: “…Federated Learning…”
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Balanced coarse-to-fine federated learning for noisy heterogeneous clients by Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang

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Differentially Private Clustered Federated Load Prediction Based on the Louvain Algorithm by Tingzhe Pan, Jue Hou, Xin Jin, Chao Li, Xinlei Cai, Xiaodong Zhou

Subjects: “…federated learning…”
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A survey of security threats in federated learning by Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu

Subjects: “…Federated learning…”
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FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications by Ioannis V. Vondikakis, Ilias E. Panagiotopoulos, George J. Dimitrakopoulos

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EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

Subjects: “…federated learning…”
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AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

Subjects: “…Adaptive federated learning…”
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System-Level Digital Twin Modeling for Underwater Wireless IoT Networks by Lei Wang, Lei Yan, Xinbin Li, Song Han

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Pneumonia detection from X-ray images using federated learning–An unsupervised learning approach by Neeta Rana, Hitesh Marwaha

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Intelligent deep federated learning model for enhancing security in internet of things enabled edge computing environment by Nasser Nammas Albogami

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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

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A Novel Federated & Ensembled Learning-Based Battery State-of-Health Estimation for Connected Electric Vehicles by Praveen Abbaraju, Subrata Kumar Kundu

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Minimal sourced and lightweight federated transfer learning models for skin cancer detection by Vikas Khullar, Prabhjot Kaur, Shubham Gargrish, Anand Muni Mishra, Prabhishek Singh, Manoj Diwakar, Anchit Bijalwan, Indrajeet Gupta

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UAV-assisted federated learning with hybrid LoRa P2P/LoRaWAN for sustainable biosphere by Mehran Behjati, Haider A. H. Alobaidy, Rosdiadee Nordin, Nor Fadzilah Abdullah

Subjects: “…federated learning…”
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Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning by Wei Zhang, Yiyang Li

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A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos by Shagun Sharma, Kalpna Guleria

Subjects: “…federated learning…”
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Comparative Analysis of Federated and Centralized Learning Systems in Predicting Cellular Downlink Throughput Using CNN by Kukuh Nugroho, Hendrawan, Iskandar

Subjects: “…Federated learning…”
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Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering by M. Baqer

Subjects: “…federated learning…”
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