SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling

21 August 2021

Papers citing "SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling"

27 / 27 papers shown

Title
Unlock the Power of Unlabeled Data in Language Driving Model Chaoqun Wang Jie-jin Yang Xiaobin Hong Ruimao Zhang 56 0 0 13 Mar 2025
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Zhongwei Wang Tong Wu Zhiyong Chen Liang Qian Yin Xu Meixia Tao FedML 36 0 0 04 Jan 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 107 0 0 19 Nov 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning Marawan Elbatel Hualiang Wang Jixiang Chen Hao Wang Xiaomeng Li FedML 63 0 0 14 Jul 2024
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer Tahira Shehzadi Ifza Didier Stricker Muhammad Zeshan Afzal ViT 40 0 0 11 Jul 2024
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions Shivam Gupta Tarushi Tsering Wangzes Shweta Jain FedML 28 0 0 05 Jul 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning Guogang Zhu Xuefeng Liu Xinghao Wu Shaojie Tang Chao Tang Jianwei Niu Hao Su FedML 49 1 0 30 May 2024
A Mutual Information Perspective on Federated Contrastive Learning Christos Louizos M. Reisser Denis Korzhenkov SSL FedML 32 2 0 03 May 2024
Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang Zhiqin Yang Xinmei Tian Nannan Wang Tongliang Liu Bo Han FedML 41 6 0 22 Feb 2024
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data Pramit Saha Divyanshu Mishra J. A. Noble FedML 43 8 0 28 Oct 2023
Little is Enough: Improving Privacy by Sharing Labels in Federated Semi-Supervised Learning Amr Abourayya Jens Kleesiek Kanishka Rao Erman Ayday Bharat Rao Geoff Webb Michael Kamp FedML 42 1 0 09 Oct 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 25 0 0 29 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators Sikai Bai Shuaicheng Li Weiming Zhuang Jie Zhang Song Guo Kunlin Yang Jun Hou Shuai Zhang Junyu Gao Shuai Yi FedML 26 6 0 11 Jul 2023
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit Forecasting Arash Hajisafi Haowen Lin Sina shaham Haoji Hu Maria Despoina Siampou Yao-Yi Chiang Cyrus Shahabi AI4TS 30 5 0 28 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Cheng Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 85 0 27 Jun 2023
Towards Fast Personalized Semi-Supervised Federated Learning in Edge Networks: Algorithm Design and Theoretical Guarantee Shuai Wang Yanqing Xu Yanli Yuan Tony Q. S. Quek FedML 16 8 0 07 Jun 2023
Federated Generalized Category Discovery Nan Pu Zhun Zhong Xinyuan Ji N. Sebe FedML 28 13 0 23 May 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning Jie Zhang Xiaosong Ma Song Guo Wenchao Xu FedML 27 8 0 01 May 2023
Federated Semi-Supervised Learning with Annotation Heterogeneity Xinyi Shang Gang Huang Yang Lu Jian Lou Bo Han Y. Cheung Hanzi Wang FedML 46 1 0 04 Mar 2023
Dual Class-Aware Contrastive Federated Semi-Supervised Learning Qianling Guo Yong Qi Saiyu Qi Di Wu FedML 26 5 0 16 Nov 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 58 32 0 24 Oct 2022
Federated Semi-Supervised Learning with Prototypical Networks Woojun Kim Keondo Park Kihyuk Sohn Raphael Shu Hyung-Sin Kim FedML 21 11 0 27 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 23 8 0 05 May 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Xiaoxiao Liang Yiqun Lin Huazhu Fu Lei Zhu Xiaomeng Li FedML 19 48 0 26 Mar 2022
Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling Tiantian Feng Shrikanth Narayanan 35 17 0 15 Mar 2022
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Yi Liu Xingliang Yuan Ruihui Zhao Cong Wang Dusit Niyato Yefeng Zheng 27 5 0 08 Dec 2020
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