Data Ethics Repository

Tag: Federated Learning

Towards Data Science (Channel)

AI Privacy, Data Science, Data Security, Ethical Concerns, Federated Learning, Machine Learning

Author: N/A; Publisher: Medium; Publication Year: N/A. The following communication channel offers publications of independent authors if they follow specific guidelines specified by the editors. The channel places attention on the question of ethics in…
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DynamoFL Aims to Bring Privacy-Preserving AI to More Industries

DynamoFL, Federated Learning, Machine Learning, Malicious Actors, Sensitive Data, Training Data

Author: Kyle Wiggers; Publisher: TechCrunch+; Publication Year: 2022. The following article covers how federated learning allows machine learning (ML) models to be trained on sensitive data without having it housed on multiple different servers and/or…
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