• July 2022: Paper accepted for presentation at the EMSOFT Conference

The paper titled “Adaptive Edge Offloading for Image Classification Under Rate Limit” co-authored with Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, and Chenyang Lu has been accepted for presentation at the EMSOFT 2022 Conference that will be held as a hybrid event in Shanghai, China, in October 2022.

The paper investigates an edge computing scenario where weak and strong image classifiers located in local devices and an edge server, respectively, collaborate to make the most accurate image classification decisions possible, under the constraint that the number of images that can be offloaded to the strong classifier in the edge server is rate limited using a token bucket mechanism. The paper relies on a reinforcement learning approach to realize a simple policy that maximizes classification accuracy under general image arrival patterns and arbitrary sequences of classification decisions. You can check out the “teaser” video for the talk ahead of the presentation at EMSOFT.

The code for the system described in the paper is available on GitHub and an extended version of the EMSOFT paper is accessible on arXiv here