EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge

EdgeFM, a novel edge-cloud cooperative system with open-set recognition capability. EdgeFM selectively uploads unlabeled data to query the FM on the cloud and customizes the specific knowledge and architectures for edge models. Meanwhile, EdgeFM conducts dynamic model switching at run-time taking into account both data uncertainty and dynamic network variations, which ensures the accuracy always close to the original FM.
Reference
Bufang YangLixing HeNeiwen Ling, Zhenyu Yan, Guoliang Xing, Xian Shuai, Xiaozhe Ren, and Jiang Xin. EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge.In The 21th ACM Conference on Embedded Networked Sensor Systems (Acceptance rate: 35/179=19.6%), 2023