Publications

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2023

Kamp, Michael; Fischer, Jonas; Vreeken, Jilles

Federated Learning from Small Datasets (Proceedings Article)

In: International Conference on Learning Representations (ICLR), 2023.

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

Mian, Michael Kamp David Kaltenpoth Osman

Nothing but Regrets - Privacy-Preserving Federated Causal Discovery (Proceedings Article)

In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

(BibTeX | Tags: causal discovery, causality, explainable, federated, federated causal discovery, federated learning, interpretable)

Mian, Osman; Kamp, Michael; Vreeken, Jilles

Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments (Proceedings Article)

In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.

(BibTeX | Tags: causal discovery, causality, federated, federated causal discovery, federated learning, intervention)

2022

Michael Kamp Amr Abourayya, Erman Ayday

AIMHI: Protecting Sensitive Data through Federated Co-Training (Workshop)

2022.

(Links | BibTeX | Tags: aimhi, co-training, deep learning, federated learning, privacy)

2021

Linsner, Florian; Adilova, Linara; Däubener, Sina; Kamp, Michael; Fischer, Asja

Approaches to Uncertainty Quantification in Federated Deep Learning (Workshop)

Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, vol. 2, Springer, 2021.

(Links | BibTeX | Tags: federated learning, uncertainty)

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

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

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)