Peter A. Beerel

Linearizing Models for Efficient yet Robust Private Inference

2024 · arXiv (Cornell University)

The growing concern about data privacy has led to the development of private inference (PI) frameworks in client-server applications which protects both data privacy and model IP. However, the cryptographic primitives required yield significant latency …

Delay Balancing with Clock-Follow-Data: Optimizing Area Delay Trade-offs for Robust Rapid Single Flux Quantum Circuits

2024 · arXiv (Cornell University)

This paper proposes an algorithm for synthesis of clock-follow-data designs that provides robustness against timing violations for RSFQ circuits while maintaining high performance and minimizing area costs. Since superconducting logic gates must be clocked, managing …