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aimhi batch normalization black-box black-box parallelization causal discovery causality co-training complexity daisy daisy-chaining deep learning explainability explainable FedDC federated federated causal discovery federated learning interpretability interpretable intervention layer-wise linear mode connectivity machine learning privacy rule ensemble rule mining small small datasets uncertainty XAI

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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)