Federated Unsupervised Representation Learning

18 October 2020

Papers citing "Federated Unsupervised Representation Learning"

50 / 79 papers shown

Title
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 22 0 0 15 May 2025
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation Siladittya Manna Suresh Das Sayantari Ghosh Saumik Bhattacharya FedML 48 0 0 30 Mar 2025
Contrastive Federated Learning with Tabular Data Silos Achmad Ginanjar Xue Li Wen Hua Jiaming Pei FedML 71 2 0 17 Feb 2025
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data Junki Mori Kosuke Kihara Taiki Miyagawa Akinori F. Ebihara Isamu Teranishi Hisashi Kashima 76 1 0 18 Dec 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views Xinyue Chen Yazhou Ren Jie Xu Fangfei Lin X. Pu Yang Yang FedML 20 0 0 12 Oct 2024
Jigsaw Game: Federated Clustering Jinxuan Xu Hong-You Chen Wei-Lun Chao Yuqian Zhang FedML 52 0 0 17 Jul 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
A deep cut into Split Federated Self-supervised Learning Marcin Przewiȩźlikowski Marcin Osial Bartosz Zieliñski Marek 'Smieja FedML 40 0 0 12 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 37 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 89 2 0 25 May 2024
Federated Learning for Misbehaviour Detection with Variational Autoencoders and Gaussian Mixture Models Enrique Mármol Campos Aurora González-Vidal José Luis Hernández Ramos A. Gómez-Skarmeta 43 1 0 16 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 44 1 0 16 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 31 1 0 07 May 2024
A Mutual Information Perspective on Federated Contrastive Learning Christos Louizos M. Reisser Denis Korzhenkov SSL FedML 32 2 0 03 May 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 51 1 0 19 Apr 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan Christopher G. Brinton FedML 40 2 0 15 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 48 7 0 25 Mar 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Lei Wang Jieming Bian Letian Zhang Cheng Chen Jie Xu 31 7 0 14 Mar 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification Fengda Zhang Qianpei He Kun Kuang Jiashuo Liu Long Chen Chao-Xiang Wu Jun Xiao Hanwang Zhang CVBM 42 8 0 11 Mar 2024
Membership Information Leakage in Federated Contrastive Learning Kongyang Chen Wenfeng Wang Zixin Wang Wangjun Zhang Zhipeng Li Yao Huang FedML 30 1 0 06 Mar 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning Ye Lin Tun Chu Myaet Thwal Le Quang Huy Minh N. H. Nguyen Choong Seon Hong FedML 40 2 0 22 Jan 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 21 0 0 26 Dec 2023
Federated Continual Novel Class Learning Lixu Wang Chenxi Liu Junfeng Guo Jiahua Dong Tianlin Li Heng-Chiao Huang Qi Zhu CLL FedML 32 2 0 21 Dec 2023
A Framework for Exploring Federated Community Detection Will Leeney Ryan McConville FedML 31 2 0 14 Dec 2023
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data Ye Lin Tun Minh N. H. Nguyen Chu Myaet Thwal J. Choi Choong Seon Hong FedML 26 13 0 28 Nov 2023
Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles Elton F. S. Soares Carlos Alberto V. Campos MDE FedML 26 2 0 07 Oct 2023
BAGEL: Backdoor Attacks against Federated Contrastive Learning Yao Huang Kongyang Chen Jiannong Cao Jiaxing Shen Shaowei Wang Yun Peng Weilong Peng Kechao Cai FedML 31 3 0 14 Sep 2023
Federated Learning for Large-Scale Scene Modeling with Neural Radiance Fields Teppei Suzuki AI4CE 23 8 0 12 Sep 2023
UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data Achintha Wijesinghe Songyang Zhang Siyu Qi Zhi Ding FedML 19 2 0 10 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning Yasar Abbas Ur Rehman Yan Gao Pedro Gusmão Mina Alibeigi Jiajun Shen Nicholas D. Lane FedML 40 18 0 14 Jul 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 32 48 0 15 Jun 2023
Masked Autoencoders are Efficient Continual Federated Learners Subarnaduti Paul Lars-Joel Frey Roshni Kamath Kristian Kersting Martin Mundt CLL FedML 24 1 0 06 Jun 2023
Federated Generalized Category Discovery Nan Pu Zhun Zhong Xinyuan Ji N. Sebe FedML 28 13 0 23 May 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 33 9 0 09 May 2023
Generalized Universal Domain Adaptation with Generative Flow Networks Didi Zhu Yinchuan Li Yunfeng Shao Jianye Hao Fei Wu Kun Kuang Jun Xiao Chao Wu AI4CE OOD 42 16 0 08 May 2023
Universal Domain Adaptation via Compressive Attention Matching Didi Zhu Yincuan Li Junkun Yuan Zexi Li Kun Kuang Chao Wu 45 17 0 24 Apr 2023
Federated Learning without Full Labels: A Survey Yilun Jin Yang Liu Kai Chen Qian Yang FedML 12 26 0 25 Mar 2023
Self-supervised On-device Federated Learning from Unlabeled Streams Jiahe Shi Yawen Wu Dewen Zeng Jun Tao Jingtong Hu Yiyu Shi FedML 19 5 0 02 Dec 2022
Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning Yi Liu Song Guo Jie Zhang Qihua Zhou Yingchun Wang Xiaohan Zhao 22 1 0 14 Nov 2022
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System Yue Yang Jingwei Sun Ang Li H. Li Yiran Chen OOD 31 0 0 11 Nov 2022
Federated Graph Representation Learning using Self-Supervision Susheel Suresh Daniel Godbout Arko Provo Mukherjee Mayank Shrivastava Jennifer Neville Pan Li OOD FedML 38 2 0 27 Oct 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 47 8 0 26 Oct 2022
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? Lirui Wang Kaipeng Zhang Yunzhu Li Yonglong Tian Russ Tedrake 34 16 0 20 Oct 2022
Federated Continual Learning for Text Classification via Selective Inter-client Transfer Yatin Chaudhary Pranav Rai Matthias Schubert Hinrich Schütze Pankaj Gupta FedML 23 12 0 12 Oct 2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets Raviteja Vemulapalli Warren Morningstar Philip Mansfield Hubert Eichner K. Singhal Arash Afkanpour Bradley Green FedML 32 2 0 30 Sep 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 31 169 0 21 Sep 2022
Anomaly Detection through Unsupervised Federated Learning Mirko Nardi Lorenzo Valerio A. Passarella FedML OOD 60 11 0 09 Sep 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 26 24 0 18 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 49 48 0 07 Aug 2022