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Kamp, Michael; Fischer, Jonas; Vreeken, Jilles

Federated Learning from Small Datasets (Journal Article)

In: arXiv preprint arXiv:2110.03469, 2022.

(Links | BibTeX | Tags: black-box, black-box parallelization, daisy, daisy-chaining, FedDC, federated learning, small, small datasets)


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

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

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

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


Heppe, Lukas; Kamp, Michael; Adilova, Linara; Piatkowski, Nico; Heinrich, Danny; Morik, Katharina

Resource-Constrained On-Device Learning by Dynamic Averaging (Workshop)

Proceedings of the Workshop on Parallel, Distributed, and Federated Learning (PDFL) at ECMLPKDD, 2020.

(Abstract | Links | BibTeX | Tags: black-box parallelization, distributed learning, edge computing, embedded, exponential family, FPGA, resource-efficient)