Sökresultat - "Stochastic gradient descent"

Robust Error State Sage-Husa Adaptive Kalman Filter for UWB Localization

Juston, M., Gupta, S., Mathur, S., Norris, W.R., Nottage, D., Soylemezoglu, A.

Enhancing Pupil Detection Accuracy for Medical Diagnostics using PINNs Combined with VGG19

Gokulavani, D., Mohana, J.

2025 International Conference on Visual Analytics and Data Visualization (ICVADV)

Enhanced Myocardial Infraction Prediction through ECG using Multimodal Transfer Learning

J, Omana, R V, Sanjay Akash, Anand, Harish, R, Sujay Sai

2025 AI-Driven Smart Healthcare for Society 5.0

Dynamic Algorithmic Configuration for Enhanced Malware Detection

S, Ramya., M, Periyasamy, P S, Ramprasanth, S, Srinivasa Aravindh, B, Mohan Kumar.

2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)

Differential Privacy with DP-SGD and PATE for Intrusion Detection: A Comparative Study

Machooka, Daniel, Yuan, Xiaohong, Roy, Kaushik, Chen, Guenvere

2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC)

33 Structural Damage Detection Using Convolutional Neural Networks

A Note on Arithmetic–Geometric Mean Inequality for Well-Conditioned Matrices

Liu, Xingtu

2025 59th Annual Conference on Information Sciences and Systems (CISS)

Decentralized Federated Learning Algorithm Under Adversary Eavesdropping

Xu, Lei, Xu, Danya, Yi, Xinlei, Deng, Chao, Chai, Tianyou, Yang, Tao

Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient

Deng, X., Li, D., Sun, T., Lu, X.

Facial Expression Recognition and Digital Images Infosecurity for Prevention Care System Application in Sudden Infant Death Syndrome Monitoring

Tsai, C., Lin, C., Lai, H., Cheng, Y., Huang, P., Pai, N., Li, C.

Dynamic Pricing Models in E-Commerce: Exploring Machine Learning Techniques to Balance Profitability and Customer Satisfaction

Guo, X., Zhang, L.

Distributed Stochastic Gradient Descent With Staleness: A Stochastic Delay Differential Equation Based Framework

Yu, S., Chen, W., Poor, H.V.

Subpixel Target Detection in Hyperspectral Imaging Using a Deep Neural Network With a Variable Stepsize Gradient Descent Method

Lo, E., Josset, D.B.

On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients

Jiang, Y., Kang, H., Liu, J., Xu, D.

A Novel Approach for Differential Privacy-Preserving Federated Learning

Elgabli, A., Mesbah, W.

Variable-Stepsize Multilayer Neural Network for Subpixel Target Detection in Hyperspectral Imaging

Lo, E.

Mini-Batch Gradient-Based MCMC for Decentralized Massive MIMO Detection

Zhou, X., Liang, L., Zhang, J., Wen, C., Jin, S.

Classification of Aerial Images and Applications: A Deep Learning Perspective

Monika, Pralayakaveri, Reddy, Chinta Midhilesh Venkata Sai, Ramesh, S.

2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN)

Research on distributed machine learning defence strategies under Byzantine attacks

Jin, Chen, Chen, Xi, Pu, Junyu, Fan, Boyu

2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Predictive Analysis of Stock Market Trends Using Support Vector Machines and Neural Networks

Baraneedharan, P, V, Sandhiya, S, Jothilakshmi

2024 International Conference on Emerging Research in Computational Science (ICERCS)