Publications

aimhi black-box black-box parallelization causal discovery causality co-training complexity dataset deep learning explainability explainable FedDC federated federated causal discovery federated learning fine-tuning GNN graph neural networks interpretability interpretable intervention layer-wise linear mode connectivity machine learning medicine nephrology rule ensemble rule mining theory of deep learning 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)