most citedExplainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring

19 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Domain-Aware Hyperdimensional Computing for Edge Smart Manufacturing

Fardin Jalil Piran, Anandkumar Patel, Rajiv Malhotra +1

Smart manufacturing requires on-device intelligence that meets strict latency and energy budgets. HyperDimensional Computing (HDC) offers a lightweight alternative by encoding data…

cs.CR2025

Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy

Fardin Jalil Piran, Zhiling Chen, Yang Zhang +3

Decentralized federated learning enables collaborative model training without a central server, but shared model updates can still leak sensitive information through inversion, rec…

cs.RO2025

ScanBot: A Benchmark for Precision Robotic Surface Scanning with Industrial Laser Profilers

Zhiling Chen, Yang Zhang, Fardin Jalil Piran +3

We introduce ScanBot, a benchmark for instruction-conditioned, high-precision surface scanning with robot-mounted industrial laser profilers. Unlike existing robot learning dataset…

cs.LG2024★ 18 cited

Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing

Fardin Jalil Piran, Zhiling Chen, Mohsen Imani +1

Federated Learning (FL) has become a key method for preserving data privacy in Internet of Things (IoT) environments, as it trains Machine Learning (ML) models locally while transm…

cs.LG2024★ 19 cited

Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring

Fardin Jalil Piran, Prathyush P. Poduval, Hamza Errahmouni Barkam +2

Machine Learning (ML) models integrated with in-situ sensing offer transformative solutions for defect detection in Additive Manufacturing (AM), but this integration brings critica…