Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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11 results for Nathalie Baracaldo Angel

Single-shot General Hyper-parameter Optimization for Federated Learning
- - Yi Zhou
  - Parikshit Ram
  - et al.
- 2023
- ICLR 2023
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models
- - Nathalie Baracaldo Angel
  - Farhan Ahmed
  - et al.
- 2023
- S&P 2023
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model
- - Nathalie Baracaldo Angel
  - Kevin Eykholt
  - et al.
- 2022
- NeurIPS 2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
- - Anisa Halimi
  - Swanand Ravindra Kadhe
  - et al.
- 2022
- ICML 2022
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
- - Yi Zhou
  - Parikshit Ram
  - et al.
- 2021
- NeurIPS 2021
Federated Learning: Recent Advances and New Challenges
- - Shiqiang Wang
  - Nathalie Baracaldo Angel
  - et al.
- 2022
- NeurIPS 2022
Accountable Federated Machine Learning in Government: Engineering and Management Insights
- - Dian Balta
  - Mahdi Sellami
  - et al.
- 2021
- ePart 2021
Federated XGBoost on Sample-Wise Non-IID Data
- - Katelinh Jones
  - Yuya Jeremy Ong
  - et al.
- 2022
- Big Data 2022
Workshop on Cross-Community Federated Learning: Algorithms, Systems and Co-designs
- - Nathalie Baracaldo Angel
  - Pin-Yu Chen
  - et al.
- 2022
- MLSys 2022
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- - Nathalie Baracaldo Angel
  - Ali Anwar
  - et al.
- 2022
- arXiv