Olivia Dizon-Paradis
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126
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2026
Potentials and Pitfalls of Applying Federated Learning in Hardware Assurance
This paper investigates the use of Federated Learning (FL) for hardware assurance, demonstrating that while FL improves model performance over centralized learning, it remains vulnerable to gradient inversion attacks that can expose proprietary intellectual property.
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