HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework
- Syed Zawad
- Ali Anwar
- et al.
- 2023
- CCGrid 2023
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48 results for Nathalie Baracaldo
Heterogeneity-Aware Adaptive Federated Learning Scheduling
- Jingoo Han
- Ahmad Faraz Khan
- et al.
- 2022
- Big Data 2022
The 1st International Workshop on Federated Learning with Graph Data (FedGraph)
- Carl Yang
- Xiaoxiao Li
- et al.
- 2022
- CIKM 2022
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
- Runhua Xu
- Nathalie Baracaldo
- et al.
- 2021
- AISec/CCS 2021
Accountable Federated Machine Learning in Government: Engineering and Management Insights
- Dian Balta
- Mahdi Sellami
- et al.
- 2021
- ePart 2021
The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game
- Zahra Ashktorab
- Casey Dugan
- et al.
- 2021
- IUI 2021
TiFL: A Tier-based Federated Learning System
- Zheng Chai
- Ahsan Ali
- et al.
- 2020
- HPDC 2020
A hybrid approach to privacy-preserving federated learning
- Stacey Truex
- Thomas Steinke
- et al.
- 2019
- AISec/CCS 2019
Hybridalpha: An efficient approach for privacy-preserving federated learning
- Runhua Xu
- Nathalie Baracaldo
- et al.
- 2019
- AISec/CCS 2019
Using BPM technology to deploy and manage distributed analytics in collaborative IoT-driven business scenarios
- Tim D'Hondt
- Anna Wilbik
- et al.
- 2019
- IoT 2019