Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
Biomedical data classification using fuzzy clustering
One of the computer-aided technologies that is growing at a very fast speed is medicine.
Lots of research has already been done in which the nature of medical data was studied …
Lots of research has already been done in which the nature of medical data was studied …
Federated Learning for Decentralized DDoS Attack Detection in IoT Networks
Y Alhasawi, S Alghamdi - IEEE Access, 2024 - ieeexplore.ieee.org
In the ever-expanding domain of Internet of Things (IoT) networks, Distributed Denial of
Service (DDoS) attacks represent a significant challenge, compromising the reliability of …
Service (DDoS) attacks represent a significant challenge, compromising the reliability of …
Advancing Federated Learning: Optimizing Model Accuracy through Privacy-Conscious Data Sharing
Our innovative federated learning approach addresses the evolving landscape of
collaborative machine learning by strategically sharing 80\% of the dataset among …
collaborative machine learning by strategically sharing 80\% of the dataset among …
Analisis perbandingan pengaruh variasi data augmentasi terhadap kinerja mobilenetv2 dalam klasifikasi penyakit daun teh
M Farhan - repository.uinjkt.ac.id
Penelitian ini bertujuan untuk menganalisis perbandingan kinerja MobileNetV2 dengan 32
Variasi data augmentasi yang berbeda dalam klasifikasi penyakit daun teh. Penyakit daun …
Variasi data augmentasi yang berbeda dalam klasifikasi penyakit daun teh. Penyakit daun …