3 papers
cs.DC2026
Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference
Ahmad N. L. Nabhaan, Zaki Sukma, Rakandhiya D. Rachmanto +4
For deep learning inference on edge devices, hardware configurations achieving the same throughput can differ by 2 in power consumption, yet operators often struggle to fin…
cs.LG2025
NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks
Rian Adam Rajagede, Muhammad Husni Santriaji, Muhammad Arya Fikriansyah +3
Fault tolerance in Deep Neural Networks (DNNs) deployed on resource-constrained systems presents unique challenges for high-accuracy applications with strict timing requirements. M…
cs.CR2024
DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data
Muhammad Husni Santriaji, Jiaqi Xue, Qian Lou +1
Fully Homomorphic Encryption (FHE) allows computations to be performed directly on encrypted data without needing to decrypt it first. This "encryption-in-use" feature is crucial f…