Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a ...
Publications
2 shownRobust Physical-World Attacks on Deep Learning Visual Classification
Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable to adversarial examples, resulting from small-magnitude perturbations added to the input...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 5,714
- Institution
- University of California, Berkeley
External Links
Identifiers
- ORCID
- 0000-0001-9745-6802
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.