most citedDiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning

3 citations · 3 across the 1 of their papers we have counts for

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cs.LG2021★ 3 cited

DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning

Olakunle Ibitoye, M. Omair Shafiq, Ashraf Matrawy

The need for robust, secure and private machine learning is an important goal for realizing the full potential of the Internet of Things (IoT). Federated learning has proven to hel…