anomaly detection 1autoencoders 1edge computing 1resource-constrained devices 1time-series analysis 1wavelet transform 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Lightweight Multi-Scale Anomaly Detection for Resource-Constrained Edge Devices
Raheen Junaid Wani, Smruti R. Sarangi
The paper introduces a compact multi‑scale autoencoder that uses discrete wavelet transforms to detect anomalies in univariate time‑series data, achieving high accuracy with a mode…
cs.CR2026
ConstMig: Enabling Secure Live Migration of Large Intel SGX-based applications
Sandeep Kumar, Abhisek Panda, Smruti R. Sarangi
Cloud service providers are adopting Trusted Execution Environments (TEEs) to provide hardware-guaranteed security to applications running on remote, untrusted data centers. Howeve…