:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Baligodugula, Vishnu Vardhan, Amsaad, Fathi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.23215
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimizing Distributed Training Approaches for Scaling Neural Networks
by: Baligodugula, Vishnu Vardhan, et al.
Published: (2025)

Fully Autonomous Z-Score-Based TinyML Anomaly Detection on Resource-Constrained MCUs Using Power Side-Channel Data
by: Albaiz, Abdulrahman, et al.
Published: (2026)

K-Means Based TinyML Anomaly Detection and Distributed Model Reuse via the Distributed Internet of Learning (DIoL)
by: Albaiz, Abdulrahman, et al.
Published: (2026)

Hybrid Efficient Unsupervised Anomaly Detection for Early Pandemic Case Identification
by: Ghajari, Ghazal, et al.
Published: (2024)

Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD
by: Ghajari, Ghazal, et al.
Published: (2025)

Intrusion Detection in IoT Networks Using Hyperdimensional Computing: A Case Study on the NSL-KDD Dataset
by: Ghajari, Ghazal, et al.
Published: (2025)

AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
by: Jawad, K M Tawsik, et al.
Published: (2024)

Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering
by: Bakry, Ahmed N., et al.
Published: (2024)

Orthogonal Subspace Clustering: Enhancing High-Dimensional Data Analysis through Adaptive Dimensionality Reduction and Efficient Clustering
by: Wen, Qing-Yuan, et al.
Published: (2026)

Learning and Generalization with Mixture Data
by: Vardhan, Harsh, et al.
Published: (2025)

Anomaly Detection and Improvement of Clusters using Enhanced K-Means Algorithm
by: Shorewala, Vardhan, et al.
Published: (2025)

i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining
by: Li, Pochun
Published: (2024)

Advanced Unsupervised Learning: A Comprehensive Overview of Multi-View Clustering Techniques
by: Moujahid, Abdelmalik, et al.
Published: (2025)

Feature-Wise Mixing for Mitigating Contextual Bias in Predictive Supervised Learning
by: Tomar, Yash Vardhan
Published: (2025)

Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
by: Mandalika, Sriram, et al.
Published: (2025)

Client Selection in Federated Learning with Data Heterogeneity and Network Latencies
by: Vardhan, Harsh, et al.
Published: (2025)

Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams
by: Chen, Jie, et al.
Published: (2024)

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
by: Zhao, Dandan, et al.
Published: (2025)

A Data-Informed Variational Clustering Framework for Noisy High-Dimensional Data
by: Chen, Wan Ping
Published: (2026)

Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
by: Nardi, Mirko, et al.
Published: (2024)

Comparative Analysis of Machine Learning-Based Imputation Techniques for Air Quality Datasets with High Missing Data Rates
by: Yan, Sen, et al.
Published: (2024)

Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
by: Baykara, Cem Ata, et al.
Published: (2024)

Robust Clustering on High-Dimensional Data with Stochastic Quantization
by: Kozyriev, Anton, et al.
Published: (2024)

An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation
by: Vardhan, Saarth, et al.
Published: (2024)

DiffFP: Learning Behaviors from Scratch via Diffusion-based Fictitious Play
by: Karthikeyan, Akash, et al.
Published: (2025)

Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals
by: Oelhaf, Julian, et al.
Published: (2025)

High-Dimensional BWDM: A Robust Nonparametric Clustering Validation Index for Large-Scale Data
by: Baragilly, Mohammed, et al.
Published: (2025)

GradientSpace: Unsupervised Data Clustering for Improved Instruction Tuning
by: Sridharan, Shrihari, et al.
Published: (2025)

Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
by: Deng, Shikuang, et al.
Published: (2025)

Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality Reduction and Regression Techniques
by: Pittala, Trinath Sai Subhash Reddy, et al.
Published: (2024)

DRtool: An Interactive Tool for Analyzing High-Dimensional Clusterings
by: Lin, Justin, et al.
Published: (2025)

Learning Rate Should Scale Inversely with High-Order Data Moments in High-Dimensional Online Independent Component Analysis
by: Gultekin, M. Oguzhan, et al.
Published: (2025)

Representation Stability in a Minimal Continual Learning Agent
by: Subramanian, Vishnu
Published: (2026)

Enhancing IoT Intrusion Detection Systems through Adversarial Training
by: Gurung, Karma, et al.
Published: (2025)

Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques
by: Thapa, Ukesh, et al.
Published: (2024)

Hyperoctant Search Clustering: A Method for Clustering Data in High-Dimensional Hyperspheres
by: Toledo-Acosta, Mauricio, et al.
Published: (2025)

Risk Factor Identification In Osteoporosis Using Unsupervised Machine Learning Techniques
by: Calitis, Mikayla
Published: (2024)

Learning Tennis Strategy Through Curriculum-Based Dueling Double Deep Q-Networks
by: Mohan, Vishnu
Published: (2025)

Collaborative Compressors in Distributed Mean Estimation with Limited Communication Budget
by: Vardhan, Harsh, et al.
Published: (2026)