Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…This paper presents a detailed literature review of the application of Federated Learning (FL) in brain tumor classification, focusing on the necessity of privacy-preserving ML using Magnetic Resonance Imaging (MRI) technology. …”
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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…However, federated learning trains models locally and combines the knowledge, resulting in more generalized ETo estimates across different regions. …”
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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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Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers by HUANG Yichuan, SONG Yuhui, JING Zhaoxia

Subjects: “…energy aggregation service provider|load forecasting|federated learning|data privacy|neural network…”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

Subjects: “…federated learning…”
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Recent advances on federated learning systems and the design for computing power Internet of things by LU Jianfeng, QI Pan, PAN Linyu, LI Bing, CAO Shuqin, JIN Yan'an

“…Although researchers have been committed to develop more mature federated learning systems to adapt to the CPIoT environment, current research lacks in-depth exploration of the strengths and limitations, technical features and differences, and support and applicability of federated learning system design techniques. …”
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FL-Joint: joint aligning features and labels in federated learning for data heterogeneity by Wenxin Chen, Jinrui Zhang, Deyu Zhang

Subjects: “…Federated learning…”
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Research on asynchronous robust federated learning method in vehicle computing power network by YIN Hongbo, WANG Shuai, ZHANG Ke, ZHANG Yin

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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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Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications by Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, Santosh Kumar

“…The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative shift towards a more resilient future, particularly concerning pandemic preparedness. …”
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A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy by Muhammad Adnan, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

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Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency by Chen Qiu, Ziang Wu, Haoda Wang, Qinglin Yang, Yu Wang, Chunhua Su

Subjects: “…hierarchical 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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Real world federated learning with a knowledge distilled transformer for cardiac CT imaging by Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt

“…Abstract Federated learning is a renowned technique for utilizing decentralized data while preserving privacy. …”
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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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Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

“…In this study, Federated Learning is utilized to improve the security and privacy through empowering nodes to train the model deprived of distribution complex data. …”
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A Cross-Regional Load Forecasting Method Based on a Pseudo-Distributed Federated Learning Strategy by Jinsong Deng, Shaotang Cai, Weinong Wu, Rong Jiang, Hongyu Deng, Jinhua Ma, Yonghang Luo

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A reliable and privacy-preserved federated learning framework for real-time smoking prediction in healthcare by Siddhesh Fuladi, D. Ruby, N. Manikandan, Animesh Verma, M. K. Nallakaruppan, Shitharth Selvarajan, Shitharth Selvarajan, Shitharth Selvarajan, Preeti Meena, V. P. Meena, Ibrahim A. Hameed

Subjects: “…federated learning…”
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FedWFC: Federated learning with weighted fuzzy clustering for handling heterogeneous data in MIoT networks by Le Sun, Shunqi Liu, Ghulam Muhammad

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Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model by Jimmy K. W. Wong, Ki Ki Chung, Yuen Wing Lo, Chun Yin Lai, Steve W. Y. Mung

“…Abstract This article details the development of a next-word prediction model utilizing federated learning and introduces a mechanism for detecting backdoor attacks. …”
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