Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search. (arXiv:2202.11490v1 [cs.LG])

Neural networks often encounter various stringent resource constraints while
deploying on edge devices. To tackle these problems with less human efforts,
automated machine learning becomes popular in finding various neural
architectures that fit diverse Artificial Intelligence of Things (AIoT)
scenarios. Recently, to prevent the leakage of private information while enable
automated machine intelligence, there is an emerging trend to integrate
federated learning and neural architecture search (NAS). Although promising as
it may seem, the coupling of difficulties from both tenets …

aiot architecture arxiv devices neural architecture search search