Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world

Understand

When facing changing environments in the real world, the lightweight model on client devices suffers from severe performance drops under distribution shifts.

• The main limitations of the existing device model lie in (1) unable to update due to the computation limit of the device, (2) the limited generalization ability of the lightweight model.
• Meanwhile, recent large models have shown strong generalization capability on the cloud while they can not be deployed on client devices due to poor computation constraints.
• To enable the device model to deal with changing environments, we propose a new learning paradigm of Cloud-Device Collaborative Continual Adaptation, which encourages collaboration between cloud and device and improves the generalization of the device model.