{"id":37,"date":"2018-05-03T15:21:56","date_gmt":"2018-05-03T13:21:56","guid":{"rendered":"http:\/\/michaelkamp.org\/mk_v1\/?page_id=37"},"modified":"2023-12-21T16:51:45","modified_gmt":"2023-12-21T15:51:45","slug":"publications","status":"publish","type":"page","link":"https:\/\/michaelkamp.org\/?page_id=37","title":{"rendered":"Publications"},"content":{"rendered":"
<\/a>
black-box<\/a><\/span> black-box parallelization<\/a><\/span> causality<\/a><\/span> CKD<\/a><\/span> communication-efficient<\/a><\/span> corresponding projections<\/a><\/span> deep learning<\/a><\/span> DiSIEM<\/a><\/span> distributed<\/a><\/span> dynamic averaging<\/a><\/span> federated<\/a><\/span> federated causal discovery<\/a><\/span> federated learning<\/a><\/span> flatness<\/a><\/span> generalization<\/a><\/span> healthcare<\/a><\/span> interpretable<\/a><\/span> learning theory<\/a><\/span> loss surface<\/a><\/span> machine learning<\/a><\/span> medicine<\/a><\/span> neural networks<\/a><\/span> parallelization<\/a><\/span> relative flatness<\/a><\/span> robustness<\/a><\/span> theory of deep learning<\/a><\/span> unsupervised<\/a><\/span> visual analytics<\/a><\/span> visualization<\/a><\/span> XAI<\/a><\/span> <\/div>
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