arxivcs.LGcs.ARcs.CV2026-07-20
Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator
Mateusz Piechocki, Alessandro Capotondi, Marek Kraft
On-device model adaptation is essential to enable lifelong personalization on resource-constrained hardware, but compute, power, and memory limitations of such devices make end-to-end backpropagation impractical for modern deep neural networks. This work proposes a heterogeneous…