Title | Journal | Journal Categories | Citations | Publication Date |
---|---|---|---|---|
Understanding clipping for federated learning: Convergence and client-level differential privacy | ||||
Deep leakage from gradients | ||||
Communication-efficient learning of deep networks from decentralized data | ||||
Differentially private aggregation in the shuffle model: Almost central accuracy in almost a single message | ||||
Learning differentially private recurrent language models | 2017 |