FFDL: Feature Fusion-Based Deep Learning Method Utilizing Federated Learning for Forged Face Detection by Vinay Gautam, Gaganpreet Kaur, Meena Malik, Ankush Pawar, Akansha Singh, Krishna Kant Singh, S. S. Askar, Mohamed Abouhawwash

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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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A semi-synchronous federated learning framework with chaos-based encryption for enhanced security in medical image sharing by Animesh Roy, Deva Raj Mahanta, Lipi B. Mahanta

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A Federated Learning Framework for Enhanced Data Security and Cyber Intrusion Detection in Distributed Network of Underwater Drones by Mansahaj Singh Popli, Rudra Pratap Singh, Navneet Kaur Popli, Mohammad Mamun

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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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Collaboration of IoT devices in smart home scenarios: algorithm research based on graph neural networks and federated learning by Yuanquan Zhong

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Federated learning-based user access strategy and energy consumption optimization in cell-free massive MIMO network by Yuanyuan YAO, Yiqiu LIU, Sai HUANG, Chunyu PAN, Xuehua LI, Xin YUAN

“…To solve the problem that how users choose access points in cell-free massive multiple-input multiple-output (CF-mMIMO) network, a prioritized access strategy for poorer users based on channel coefficient ranking was proposed.First, users were evaluated and ranked for their channel quality and stability after channel sensing, and suitable access points were selected in sequence according to the order of the channel state information.Second, considering issues such as users' energy consumption and data security, a federal learning framework was used to enhance user's data privacy and security.Meanwhile, an alternating optimization variables algorithm based on energy consumption optimization was proposed to optimize the multi-dimensional variables, for the purpose of minimizing the total energy consumption of the system.Simulation results show that compared with the traditional user-centric in massive MIMO, the proposed access strategy can improve the average uplink reachable rate of users by 20%, and the uplink rate of users with poor channels can be double improved; in terms of energy consumption optimization, the total energy consumption can be reduced by much more than 50% after optimization.…”
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Federated Learning-Based Credit Card Fraud Detection: A Comparative Analysis of Advanced Machine Learning Models by Zheng Han

“…The paper highlights both the benefits and challenges of using federated learning in the domain.…”
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A Verifiable Discrete Trust Model (VDTM) Using Congruent Federated Learning (CFL) for Social Internet of Vehicles by Mohammed Mujib Alshahrani

“…This article presents a Verifiable Discrete Trust Model (VDTM) that uses Congruent Federated Learning (CFL) to make social information-sharing tools more trustworthy. …”
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Enhanced Early Autism Screening: Assessing Domain Adaptation with Distributed Facial Image Datasets and Deep Federated Learning by Shafiul Alam, Muhammad Mahbubur Rashid

“…It stands out as the pioneering effort to analyze two facial image datasets – Kaggle and YTUIA, using federated learning methods to adapt domain differences successfully. …”
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<i>VFL-Cafe</i>: Communication-Efficient Vertical Federated Learning via Dynamic Caching and Feature Selection by Jiahui Zhou, Han Liang, Tian Wu, Xiaoxi Zhang, Yu Jiang, Chee Wei Tan

Subjects: “…vertical federated learning…”
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Efficient distributed model sharing strategy for data privacy protection in Internet of vehicles by Zijia MO, Zhipeng GAO, Yang YANG, Yijing LIN, Shan SUN, Chen ZHAO

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Application of differential privacy to sensor data in water quality monitoring task by Audris Arzovs, Sergei Parshutin, Valts Urbanovics, Janis Rubulis, Sandis Dejus

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FedCLCC: A personalized federated learning algorithm for edge cloud collaboration based on contrastive learning and conditional computing by Kangning Yin, Xinhui Ji, Yan Wang, Zhiguo Wang

Subjects: “…Federated learning…”
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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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Corrections to &#x201C;Federated Learning Approach for Breast Cancer Detection Based on DCNN&#x201D; by Hussain Alsalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

“…Presents corrections to the paper, (Corrections to &#x201C;Federated Learning Approach for Breast Cancer Detection Based on DCNN&#x201D;).…”
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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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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

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Author Correction: Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism by Fayez Saud Alreshidi, Mohammad Alsaffar, Rajeswari Chengoden, Naif Khalaf Alshammari

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FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

Subjects: “…Graph federated learning…”
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