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Breaking Privacy in Model-Heterogeneous Federated Learning

Haldankar, Atharva AmitVirginia Tech2024

Federated learning (FL) is a communication protocol that allows multiple distrustful clients to collaboratively train a machine learning model. In FL, data never leaves client devices; instead, clients only share locally computed gradients or model parameters with a central server. As individual …

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