Heterogeneity-Aware Adaptive Federated Learning Scheduling
- Jingoo Han
- Ahmad Faraz Khan
- et al.
- 2022
- Big Data 2022
Publications
55 results for Nathalie Baracaldo
Federated XGBoost on Sample-Wise Non-IID Data
- Katelinh Jones
- Yuya Jeremy Ong
- et al.
- 2022
- Big Data 2022
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model
- 2022
- NeurIPS 2022
Federated Learning: Recent Advances and New Challenges
- Shiqiang Wang
- Nathalie Baracaldo Angel
- et al.
- 2022
- NeurIPS 2022
The 1st International Workshop on Federated Learning with Graph Data (FedGraph)
- Carl Yang
- Xiaoxiao Li
- et al.
- 2022
- CIKM 2022
Workshop on Cross-Community Federated Learning: Algorithms, Systems and Co-designs
- 2022
- MLSys 2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
- 2022
- ICML 2022
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- Nathalie Baracaldo Angel
- Ali Anwar
- et al.
- 2022
- arXiv
Machine Learning Security and Privacy
- Nathalie Baracaldo
- Alina Oprea
- 2021
- IEEE Security and Privacy
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2021
- NeurIPS 2021