Towards federated unsupervised representation learning

Author:

van Berlo Bram1,Saeed Aaqib1,Ozcelebi Tanir1

Affiliation:

1. Eindhoven University of Technology

Publisher

ACM

Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A comprehensive survey of federated transfer learning: challenges, methods and applications;Frontiers of Computer Science;2024-07-23

2. Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

3. LiCAFeL-STC: A Lightweight Cluster-Based Federated Learning Framework for Sensor-Based Human Activity Recognition Using Unlabeled Data in Heterogeneous Wearable Devices;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

4. Importance Sampling Based Federated Unsupervised Representation Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Emerging trends in federated learning: from model fusion to federated X learning;International Journal of Machine Learning and Cybernetics;2024-04-02

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