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News/Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy
arxiv
PublishedApril 24, 2026 at 4:00 AM
—neutral

Towards Explainable Federated Learning: Understanding the Impact of Differential Privacy

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arXiv:2602.10100v2 Announce Type: replace Abstract: Data privacy and eXplainable Artificial Intelligence (XAI) are two important aspects for modern Machine Learning systems. To enhance data privacy, recent machine learning models have been designed as a Federated Learning (FL) system. On top of that

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