All Stories

  1. Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
  2. Membership Inference Attacks Against Semantic Segmentation Models
  3. Utility-preserving Federated Learning
  4. Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models
  5. Data stealing in federated learning: Medical imaging is particularly vulnerable