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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2025

Abourayya, Amr; Kleesiek, Jens; Rao, Kanishka; Ayday, Erman; Rao, Bharat; Webb, Geoffrey I.; Kamp, Michael

Little is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning (Proceedings Article)

In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), AAAI, 2025.

(BibTeX | Tags: aimhi, FedCT, federated learning, semi-supervised)

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)