FREDY: Federated Resilience Enhanced with Differential Privacy

FREDY: Federated Resilience Enhanced with Differential Privacy

Federated Learning is identified as a reliable technique for distributed training of ML models. Specifically, a set of dispersed nodes may collaborate through a federation in producing a jointly trained ML model without disclosing their data to each other. Each node performs local model training and...

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Bibliographic Details
Main Authors: Zacharias Anastasakis, Terpsichori-Helen Velivassaki, Artemis Voulkidis, Stavroula Bourou, Konstantinos Psychogyios, Dimitrios Skias, Theodore Zahariadis
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Future Internet
Subjects:
differential privacy
privacy preserving
federated learning
cyber security
knowledge transfer
noisy aggregation
Online Access:https://www.mdpi.com/1999-5903/15/9/296

Internet

https://www.mdpi.com/1999-5903/15/9/296

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