Federated Learning and Privacy: Data Protection

Federated learning trains AI models collaboratively across many devices or organisations without moving the original data: each participant trains locally and sends only gradients to the central server. Formalised by Google in 2016, it does not guarantee privacy on its own: it needs differential privacy or secure aggregation to prevent leaks from those gradients.

March 18, 2023 5 min 176 4.5

Technology

Cybersecurity: Protection Against Digital Threats

Cybersecurity combines technical controls (encryption, MFA, network segmentation), team training and an incident response plan to reduce the risk of ransomware, phishing, malware and identity theft. No single measure is enough: effectiveness depends on applying every layer at once and auditing the system regularly.

March 18, 2023 4 min 217 4.4