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Federated learning is a potential solution for developing machine-learning models requirining massive datasets. However, it may have positive impacts on data protection such as avoiding data centralisation and simplifying control over data processing. Learn more on federate learning with the EDPS here

Synthetic data is artificial data able to reproduce information very close to the original data. This means they can maintain almost the same statistical value as the authentic ones. Sounds interesting? Learn more about them with the EDPS here

The European Data Protection Board (EDPB) and the European Data Protection Supervisor (EDPS) have adopted a Joint Opinion on the Proposal of the European Parliament and of the Council on harmonised rules on fair access to and use of data (EU Data Act). Their aim is to draw attention to a number of overarching concerns...

The European Data Protection Supervisor (EDPS) published its 2021 Annual Report which provides an overview of the EDPS’ supervisory activities that contribute to shaping Europe’s digital future. In particular, the Annual Report 2021 includes the EDPS’ work on international transfers of personal data; on COVID-19; on the Area of Freedom, Security and Justice; as well...

Sharing his opinion of regulating online advertising, the European Data Protection Supervisor Wojciech Wiewiórowski stated that digital services have been designed to track and target to achieve engagement. Acknowledging that the proposed Digital Services Act and the Proposal for a Regulation on the Transparency and Targeting of Political Advertising address risks related to transparency, however...

The European Data Protection Supervisor (EDPS) published a paper on modern spyware to highlight unprecedented risks of technology used in surveillance. Pegasus is discussed in detail in the paper.  Concerning features of Pegasus, according to the EDPS, include unrestricted access of devices, zero click attack (makes it closer to non-preventable) and the fact that it...


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