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Li, Xiaoxiao; Jiang, Meirui; Zhang, Xiaofei; Kamp, Michael; Dou, Qi

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization (Conference)

Proceedings of the 9th International Conference on Learning Representations (ICLR), 2021.

(Abstract | Links | BibTeX | Tags: batch normalization, black-box parallelization, deep learning, federated learning)


Kamp, Michael; Adilova, Linara; Sicking, Joachim; Hüger, Fabian; Schlicht, Peter; Wirtz, Tim; Wrobel, Stefan

Efficient Decentralized Deep Learning by Dynamic Model Averaging (Inproceedings)

In: Machine Learning and Knowledge Discovery in Databases, Springer, 2018.

(Abstract | Links | BibTeX | Tags: decentralized, deep learning, federated learning)


Kamp, Michael; Bothe, Sebastian; Boley, Mario; Mock, Michael

Communication-Efficient Distributed Online Learning with Kernels (Conference)

Machine Learning and Knowledge Discovery in Databases, Springer International Publishing, 2016.

(Abstract | Links | BibTeX | Tags: communication-efficient, distributed, dynamic averaging, federated learning, kernel methods, parallelization)