Divergence-aware Federated Self-Supervised Learning

9 April 2022

Papers citing "Divergence-aware Federated Self-Supervised Learning"

20 / 70 papers shown

Title
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 32 24 0 18 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 52 48 0 07 Aug 2022
Smart Multi-tenant Federated Learning Weiming Zhuang Yonggang Wen Shuai Zhang FedML 36 2 0 09 Jul 2022
Federated Momentum Contrastive Clustering Runxuan Miao Erdem Koyuncu FedML 30 13 0 10 Jun 2022
FedNST: Federated Noisy Student Training for Automatic Speech Recognition Haaris Mehmood A. Dobrowolska Karthikeyan P. Saravanan Mete Ozay 24 7 0 06 Jun 2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images Jun Shi Yuan-Yang Zhang Zheng Li Xiangmin Han Saisai Ding Jun Wang Shihui Ying FedML OOD 30 11 0 31 May 2022
Federated Self-supervised Learning for Heterogeneous Clients Disha Makhija Nhat Ho Joydeep Ghosh FedML 41 25 0 25 May 2022
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 74 25 0 24 May 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering Ekdeep Singh Lubana Chi Ian Tang F. Kawsar Robert P. Dick Akhil Mathur FedML 40 52 0 23 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Rui Yan Liangqiong Qu Qingyue Wei Shih-Cheng Huang Liyue Shen D. Rubin Lei Xing Yuyin Zhou FedML 78 90 0 17 May 2022
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration Henna Kokkonen Lauri Lovén Naser Hossein Motlagh Abhishek Kumar Juha Partala ... M. Bennis Sasu Tarkoma Schahram Dustdar Susanna Pirttikangas J. Riekki 38 26 0 03 May 2022
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 45 20 0 29 Nov 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 846 0 01 Mar 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 37 76 0 25 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 138 281 0 12 Feb 2021
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You T. Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 28 135 0 18 Oct 2020
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
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Zhengming Zhang Yaoqing Yang Z. Yao Yujun Yan Joseph E. Gonzalez Michael W. Mahoney FedML 39 36 0 26 Aug 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 545 0 30 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 281 3,378 0 09 Mar 2020