Abstract: Power analysis poses a significant threat to the security of cryptographic algorithms, as it can be leveraged to recover secret keys. While various software-based countermeasures exist to ...
Abstract: Federated learning (FL) enables multiple local clients to collaboratively train a global model, which can reduce privacy leakage by sharing model parameters instead of private datasets.