FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

19 July 2022

Xing Xie

Papers citing "FedX: Unsupervised Federated Learning with Cross Knowledge Distillation"

29 / 29 papers shown

Title
Operator Learning: A Statistical Perspective Unique Subedi Ambuj Tewari 26 0 0 04 Apr 2025
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection Silin Chen Kangjian Di Yichu Xu Han-Jia Ye Wenhan Luo Ningmu Zou FedML 35 0 0 28 Feb 2025
Federated Deep Subspace Clustering Yupei Zhang Ruojia Feng Yifei Wang Xuequn Shang FedML 76 0 0 17 Jan 2025
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 27 0 0 31 Oct 2024
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving Wei-Bin Kou Qingfeng Lin Ming Tang Rongguang Ye Shuai Wang Guangxu Zhu Yik-Chung Wu 29 4 0 29 Sep 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Rui Ye Rui Ge Xinyu Zhu Jingyi Chai Yaxin Du Yang Liu Yanfeng Wang Siheng Chen FedML 39 13 0 07 Jun 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning Zhuang Qi Lei Meng Weihao He Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng FedML 20 4 0 30 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 53 2 0 25 May 2024
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data Shusen Jing Anlan Yu Shuai Zhang Songyang Zhang FedML 16 1 0 07 May 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning Sungwon Han Hyeonho Song Sungwon Park Meeyoung Cha FedML AAML 25 0 0 18 Apr 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 46 4 0 02 Apr 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data Xinting Liao Weiming Liu Chaochao Chen Pengyang Zhou Fengyuan Yu Huabin Zhu Binhui Yao Tao Wang Xiaolin Zheng Yanchao Tan FedML 33 7 0 25 Mar 2024
CCFC: Bridging Federated Clustering and Contrastive Learning Jie Yan Jing Liu Zhonghan Zhang FedML 29 3 0 12 Jan 2024
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying Chen FedML 25 5 0 13 Sep 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML 17 10 0 18 Aug 2023
UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data Achintha Wijesinghe Songyang Zhang Siyu Qi Zhi Ding FedML 9 2 0 10 Aug 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data Zhuang Qi Lei Meng Zitan Chen Han Hu Hui Lin Xiangxu Meng FedML 13 17 0 07 Aug 2023
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation H. Kim Youngjun Kwak Mi-Young Jung Jinho Shin Youngsung Kim Changick Kim FedML 8 9 0 23 Jul 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning Sungwon Park Sungwon Han Fangzhao Wu Sundong Kim Bin Zhu Xing Xie Meeyoung Cha FedML AAML 11 20 0 18 Jul 2023
Masked Autoencoders are Efficient Continual Federated Learners Subarnaduti Paul Lars-Joel Frey Roshni Kamath Kristian Kersting Martin Mundt CLL FedML 11 1 0 06 Jun 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 8 26 0 25 Mar 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 18 219 0 15 Nov 2022
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning Yi Liu Song Guo Jie M. Zhang Qihua Zhou Yingchun Wang Xiaohan Zhao 17 1 0 14 Nov 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 40 7 0 26 Oct 2022
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning Yuanqin He Yan Kang Xinyuan Zhao Jiahuan Luo Lixin Fan Yuxing Han Qiang Yang FedML 11 22 0 18 Aug 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 167 410 0 14 Jul 2021
Mutual Contrastive Learning for Visual Representation Learning Chuanguang Yang Zhulin An Linhang Cai Yongjun Xu VLM SSL 97 74 0 26 Apr 2021
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 13 75 0 25 Feb 2021
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 76 95 0 26 Aug 2020