Addressing Unique Fairness Obstacles within Federated Learning
- Annie Abay
- Ebube Chuba
- et al.
- 2021
- AAAI 2021
Publications
62 results for AI Privacy
The Discrete Gaussian for Differential Privacy
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
IBM Federated Learning Community Edition: An Interactive Demonstration
- Laura Wynter
- 2020
- NeurIPS 2020
FAT: Federated Adversarial Training
- 2020
- NeurIPS 2020
Explainable Link Prediction for Privacy-Preserving Contact Tracing
- Balaji Ganesan
- Hima Patel
- et al.
- 2020
- NeurIPS 2020
Learning to Design Fair and Private Voting Rules
- Farhad Mohsin
- Ao Liu
- et al.
- 2020
- NeurIPS 2020
New oracle-efficient algorithms for private synthetic data release
- Giuseppe Vietri
- Grace Tian
- et al.
- 2020
- ICML 2020
Privacy-Aware Human Activity Recognition from a Wearable Camera
- Girmaw Abebe Tadesse
- Oliver Bent
- et al.
- 2020
- IEEE SPM
Towards a GDPR compliant way to secure European cross border Healthcare Industry 4.0
- Xabier Larrucea
- Micha Moffie
- et al.
- 2020
- Computer Standards and Interfaces
AsgLDP: Collecting and Generating Decentralized Attributed Graphs with Local Differential Privacy
- Chengkun Wei
- Shouling Ji
- et al.
- 2020
- IEEE TIFS