Towards Homomorphic Inference Beyond the Edge

Autor: Resch, Salonik, Chowdhury, Zamshed I., Cilasun, Husrev, Zabihi, Masoud, Zhao, Zhengyang, Wang, Jian-Ping, Sapatnekar, Sachin, Karpuzcu, Ulya R.
Rok vydání: 2021
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv