IEEE

Securing Federated Learning Against Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection on Local Updates

Abstract: Current defense mechanisms against model poisoning attacks in federated learning (FL) systems have proven effective up to a certain threshold of malicious clients (e.g., 25% to 50%). In this ...
IEEE

Graph Neural Network Aided Detection for the Multi-User Multi-Dimensional Index Modulated Uplink

Abstract: The concept of Compressed Sensing-aided Space-Frequency Index Modulation (CS-SFIM) is conceived for the Large-Scale Multi-User Multiple-Input Multiple-Output Uplink (LS-MU-MIMO-UL) of ...
IEEE

MUXAS-VR: A Multi-Dimensional User Experience Assessment System for Virtual Reality

Abstract: Virtual Reality (VR) technology offers immersive experiences across various domains, but assessing user experience (UX) remains a challenge. Traditional methods, such as questionnaires, are ...
IEEE

An Investigation on the Three-Dimensional Memristive Morris–Lecar Model With Magnetic Induction Effects: Simulation of Biological Behaviors and Cost-Effective Digital Circuit ...

Abstract: The use of FPGA technology is becoming more popular for integrating neuromorphic computing systems because of the parallel processing capabilities and flexibility it offers. This study ...
IEEE

EdgeDiff: Energy-Efficient Multi-Modal Few-Step Diffusion Model Accelerator Using Mixed-Precision and Reordered Group Quantization

Abstract: Recent advances in diffusion models (DMs)—such as few-step denoising and multi-modal conditioning—have significantly improved computational efficiency and functional flexibility, but they ...
IEEE

MU-MRQ: Enabling Multi-User Verifiable and Secure Multi-Dimensional Range Query Over Encrypted Data

Abstract: In recent years, multi-dimensional range query (MRQ) over encrypted data has been increasingly applied in various scenarios, making it one of the mainstream services for secure large-scale ...
IEEE

Multi-Dimensional Recurrent Neural Networks Hyperspectral image classification

Abstract: Classifying hyperspectral images (HSIs) is a top priority for the remote sensing field. Discriminative feature extraction of HSI using conventional ML techniques is difficult because of the ...
IEEE

Multi-Agent Reinforcement Learning for Moving Target Defense Decision-Making Based on Markov Game: An Adaptive Approach Under Three-Dimensional Metrics

Abstract: Enhancing the effectiveness of cybersecurity defense requires not only advanced and practical defensive technologies but also relies on effective decision-making methods. In light of the ...
IEEE

Multi-Dimensional Quality Assessment for UGC Videos via Modular Multi-Modal Vision-Language Models

Abstract: Recent advances in video processing and the growth of social media have led to a surge in user-generated content (UGC) videos. However, various factors can degrade their quality, ...
IEEE

Advanced Multidimensional Speech Fusion for Early Parkinson's Diagnosis

Abstract: This paper proposes a novel early detection model for Parkinson's disease based on multidimensional speech feature fusion. To overcome the limitations of single-feature or traditional ...
IEEE

Dynamic Computing First Network Multi-dimensional Resource Collaborative Allocation Based on Federated Segmentation Learning

Abstract: Driven by the challenges associated with training large models in heterogeneous networks, where a one-size-fits-all training strategy can result in inefficiencies, we propose a versatile ...
IEEE

Deep Multi-Source Visual Fusion With Transformer Model for Video Content Filtering

Abstract: As YouTube content continues to grow, advanced filtering systems are crucial to ensuring a safe and enjoyable user experience. We present MFusTSVD, a multi-modal model for classifying ...