2023
Knowledge-Aware Federated Active Learning with Non-IID Data
ICCV 2023poster
Federated learning enables multiple decentralized clients to learn collaboratively without sharing local data. However, the expensive annotation cost on local clients remains an obstacle in utilizing local data. In this paper, we propose a federated active learning paradigm to efficiently learn a gl…