Towards taming the resource and data heterogeneity in federated learning
- Zheng Chai
- Hannan Fayyaz
- et al.
- 2019
- OpML 2019
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48 results for Nathalie Baracaldo
Detecting backdoor attacks on deep neural networks by activation clustering
- Bryant Chen
- Wilka Carvalho
- et al.
- 2019
- SafeAI 2019
Detecting poisoning attacks on machine learning in IoT environments
- Nathalie Baracaldo
- Bryant Chen
- et al.
- 2018
- ICIOT 2018
Mitigating poisoning atacks on machine learning models: A data provenance based approach
- Nathalie Baracaldo
- Bryant Chen
- et al.
- 2017
- AISec 2017
Managing service quality at the platform and application levels with rSLa
- Samir Tata
- Mohamed Mohamed
- et al.
- 2016
- WETICE 2016
Is Federated Learning Still Alive in the Foundation Model Era?
- 2024
- AAAI-SS 2024
Adaptive Histogram-based Gradient Boosted Trees For Federated Learning
- Yuya Jeremy Ong
- Yi Zhou
- et al.
- 2020
- INFORMS 2020
Federated XGBoost on Sample-Wise Non-IID Data
- Katelinh Jones
- Yuya Jeremy Ong
- et al.
- 2022
- Big Data 2022
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
- Junyuan Hong
- Carl Yang
- et al.
- 2024
- KDD 2024
Workshop on Cross-Community Federated Learning: Algorithms, Systems and Co-designs
- 2022
- MLSys 2022