Ant Colony Optimization for Smarter Feature Selection in Network Intrusion Detection
Ant colony optimization (ACO) offers a bio-inspired way to trim bloated network traffic feature sets down to the attributes that actually distinguish attacks from normal behavior. This article explains how ACO's pheromone-based search works, reviews wrapper-based results on publi
Latest Models in Sentiment Analysis: A Short Literature Review
A 2024–2025 review of the newest sentiment analysis models: LLMs, transformer hybrids, and multimodal approaches.
Ant Colony Client Selection for Federated Learning on Non-IID Healthcare Data
A proposal for combining Ant Colony Optimization with cluster-backbone federated learning to address client heterogeneity in cross-hospital healthcare model training.
Federated Learning with Differential Privacy for Secure Electronic Health Record Analysis
Federated learning trains diagnostic models across hospitals without sharing raw patient records; differential privacy adds re-identification safeguards. Key architectures and clinical deployment challenges are examined.