Geahča maid

• On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks
  Dahkki: Ali, Ramy E., et al.
  Almmustuhtton: (2020)
• Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
  Dahkki: Tang, Tingting, et al.
  Almmustuhtton: (2021)
• FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
  Dahkki: Jin, Weizhao, et al.
  Almmustuhtton: (2023)
• Differentially Private Federated Learning without Noise Addition: When is it Possible?
  Dahkki: Zhang, Jiang, et al.
  Almmustuhtton: (2024)
• Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning
  Dahkki: Damie, Marc, et al.
  Almmustuhtton: (2025)