About Robert Remus

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So far Robert Remus has created 9 blog entries.

Briefly noted: Backdoors in Federated Learning

In their NeurIPS-2020 article, Wang et al. discuss the injection of backdoors into a model during model training. In an FL setting, the goal of a backdoor is to corrupt the global (federated) model such that it mispredicts on a targeted sub-task.

By |2021-03-09T10:44:57+00:00March 9, 2021|

Briefly noted: Gradients Leak Training Data

In their NeurIPS-2019 paper, Zhu et al. describe an attack against Federated Learning (FL): they show how gradients — which are exchanged either in a client-server or a peer-to-peer FL setting — leak the (private) training data.

By |2021-03-04T16:31:12+00:00February 11, 2021|

Up-and-coming: (More) Sustainable AI

Sustainability is an ethical value of the responsible development and application of Artificial Intelligence. In their paper presented at ACL-2019, Strubel et al. showed how expensive it is to train large language models.

By |2021-03-04T16:32:42+00:00December 29, 2020|

Up-and-coming: Explainable AI

In this blog entry, we go into more detail about another central aspect of responsible development and application of Artificial Intelligence (AI): the explainability of decisions made by AI.

By |2021-06-25T11:31:02+00:0030. November 2020|
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