Single-shot General Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2023
- ICLR 2023
Conference paper
Publications
57 results for Nathalie Baracaldo
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework
- Syed Zawad
- Ali Anwar
- et al.
- 2023
- CCGrid 2023
Conference paperHeterogeneity-Aware Adaptive Federated Learning Scheduling
- Jingoo Han
- Ahmad Faraz Khan
- et al.
- 2022
- Big Data 2022
Conference paperFederated XGBoost on Sample-Wise Non-IID Data
- Katelinh Jones
- Yuya Jeremy Ong
- et al.
- 2022
- Big Data 2022
Workshop paperBenchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model
- 2022
- NeurIPS 2022
Workshop paperFederated Learning: Recent Advances and New Challenges
- Shiqiang Wang
- Nathalie Baracaldo Angel
- et al.
- 2022
- NeurIPS 2022
WorkshopThe 1st International Workshop on Federated Learning with Graph Data (FedGraph)
- Carl Yang
- Xiaoxiao Li
- et al.
- 2022
- CIKM 2022
Conference paperWorkshop on Cross-Community Federated Learning: Algorithms, Systems and Co-designs
- 2022
- MLSys 2022
WorkshopFederated Unlearning: How to Efficiently Erase a Client in FL?
- 2022
- ICML 2022
Workshop paperTowards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- Nathalie Baracaldo Angel
- Ali Anwar
- et al.
- 2022
- arXiv
Paper