SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with
Alternate Training

SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training

2 June 2021

Papers citing "SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training"

10 / 10 papers shown

Title
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning Yu Zhang Qingfeng Du Jiaqi Lv 31 0 0 16 Apr 2025
Federated Prediction-Powered Inference from Decentralized Data Ping Luo Xiaoge Deng Ziqing Wen Tao Sun Dongsheng Li FedML 25 0 0 03 Sep 2024
Energizing Federated Learning via Filter-Aware Attention Ziyuan Yang Zerui Shao Huijie Huangfu Hui Yu Andrew Beng Jin Teoh Xiaoxiao Li Hongming Shan Yi Zhang FedML 40 0 0 18 Nov 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 19 0 0 29 Jul 2023
Collaborative Learning via Prediction Consensus Dongyang Fan Celestine Mendler-Dünner Martin Jaggi FedML 29 7 0 29 May 2023
FedMT: Federated Learning with Mixed-type Labels Qiong Zhang Jing Peng Xin Zhang A. Talhouk Gang Niu Xiaoxiao Li FedML 51 0 0 05 Oct 2022
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 37 76 0 25 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 564 0 27 Jul 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017