Beyond edge devices can function off the power grid and without batteries, enabling them to operate in difficult to access regions. However, energy costly long-distance communication required for reporting results or offloading computation becomes a limitation. Here, we reduce this overhead by developing a beyond edge device which can effectively act as a nearby server to offload computation. For security reasons, this device must operate on encrypted data, which incurs a high overhead. We use energy-efficient and intermittent-safe in-memory computation to enable this encrypted computation, allowing it to provide a speedup for beyond edge applications within a power budget of a few milliWatts.
@article{arxiv.2112.08943,
title = {Towards Homomorphic Inference Beyond the Edge},
author = {Salonik Resch and Zamshed I. Chowdhury and Husrev Cilasun and Masoud Zabihi and Zhengyang Zhao and Jian-Ping Wang and Sachin Sapatnekar and Ulya R. Karpuzcu},
journal= {arXiv preprint arXiv:2112.08943},
year = {2021}
}