Designed shifts that make the eavesdropper's Fisher information matrix singular hide one component of a federated model from network eavesdroppers.
Approx- imating functions with approximate privacy for applications in signal estimation and learning,
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ModShift: Model Privacy via Designed Shifts
Designed shifts that make the eavesdropper's Fisher information matrix singular hide one component of a federated model from network eavesdroppers.