FedMatch (1) 썸네일형 리스트형 논문읽기: FedMatch(FEDERATED SEMI-SUPERVISED LEARNING WITHINTER-CLIENT CONSISTENCY & DISJOINT LEARNING) Federated Learning과 Semi-supervised learning을 결합한 FSSL(Federated Semi-Supervised Learning)에 대한 연구이다. 우리나라 카이스트에서 나온 논문이다. https://arxiv.org/abs/2006.12097 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning While existing federated learning approaches mostly require that clients have fully-labeled data to train on, in realistic settings, data obtained at the clie.. 이전 1 다음
