1. Guest Editor - MDPI Future Internet Special Issue
Clustered Federated Learning for Networks (Cybersecurity Section)
Currently serving as Guest Editor for a prestigious Special Issue on "Clustered Federated Learning for Networks"
in MDPI Future Internet journal, co-editing with Prof. Miin-Shen Yang from Chung Yuan Christian University.
- Algorithmic Innovations: Novel clustering algorithms, adaptive strategies, hierarchical FL architectures
- Privacy & Security: Privacy-preserving clustering, differential privacy, secure aggregation protocols
- System Optimization: Communication-efficient algorithms, resource allocation, heterogeneity handling
- Network Applications: IoT/edge computing, mobile/wireless networks, multi-access edge computing (MEC)
- Performance Analysis: Convergence analysis, robustness, fault tolerance, scalability studies
Journal Impact: MDPI Future Internet (Cybersecurity Section) - Shaping the future of federated learning in networked systems
Collaboration: Co-Editor Prof. Miin-Shen Yang (Profile)
Submission Portal: MDPI Special Issue Page | Editorial System: SUSY Platform
2. Federated Multi-View K-Means with Enhanced Distance (Fed-MVKM-ED)
Comprehensive Implementation & Publication Demonstration
Developed and demonstrated a complete federated multi-view clustering algorithm for privacy-preserving distributed learning.
The implementation features rectified Gaussian kernels, differential privacy mechanisms, and adaptive view weight learning.
Key Technical Achievements:
- Performance: NMI: 0.8925, ARI: 0.6999 (32.7% improvement over local models)
- Privacy-Preserving: Differential privacy with 0.9 privacy level
- Multi-View Integration: Depth (6144D) + RGB (110D) feature fusion
- Federated Setup: 3-site collaboration (Research Hospital, Rehab Center, Sports Clinic)
- Comprehensive Evaluation: 12+ visualizations, convergence analysis, performance metrics
Complete implementation available in A Comprehensive Tutorial on Federated Multi-View K-Means Clustering with Rectified Gaussian Kernel and GitHub Archive with publication-ready results and analysis.
3. Multi-View Clustering Framework (Foundational Work)
Designed and implemented a modular, scalable framework for multi-view clustering algorithms. Built to support dynamic feature integration, interpretability, and performance tracking across federated environments. This foundational work enabled the advanced Fed-MVKM-ED implementation showcased above.
4. Decentralized Anomaly Detection System
Led the development of a privacy-preserving anomaly detection model optimized for industrial edge devices. Deployed models across simulated sensor networks with minimal communication cost.
5. Clown Network Chronicles (Observational Series)
A satirical-analytical blog project that documents the absurdities of shared spaces, noise patterns, and unauthorized psychological phenomena through poetic sarcasm and digital logging.
6. Visualization of Federated Learning Topologies
Created animated visual models of peer-to-peer learning dynamics across edge devices, using real-time traffic simulation data and graph overlays.
7. Personal Website Infrastructure (2025)
Built and deployed a modular, animated personal homepage and blog system powered by GitHub Pages, HTML, inline SVG, sarcasm, and Inter font — featuring Clown-resistant logic and Möbius charm.