A hybrid approach to privacy-preserving federated learning
- Stacey Truex
- Thomas Steinke
- et al.
- 2019
- AISec/CCS 2019
Conference paper
Publications
38 results for Ali Anwar
Hybridalpha: An efficient approach for privacy-preserving federated learning
- Runhua Xu
- Nathalie Baracaldo
- et al.
- 2019
- AISec/CCS 2019
Conference paperUsing BPM technology to deploy and manage distributed analytics in collaborative IoT-driven business scenarios
- Tim D'Hondt
- Anna Wilbik
- et al.
- 2019
- IoT 2019
Conference paperLarge-Scale Analysis of the Docker Hub Dataset
- Nannan Zhao
- Vasily Tarasov
- et al.
- 2019
- CLUSTER 2019
Conference paperA Hybrid Approach to Privacy-Preserving Federated Learning: (Extended Abstract)
- Stacey Truex
- Nathalie Baracaldo
- et al.
- 2019
- Informatik-Spektrum
PaperSlimmer: Weight loss secrets for docker registries
- Nannan Zhao
- Vasily Tarasov
- et al.
- 2019
- CLOUD 2019
Conference paperBolt: Towards a scalable docker registry via hyperconvergence
- Michael Littley
- Ali Anwar
- et al.
- 2019
- CLOUD 2019
Conference paperTowards taming the resource and data heterogeneity in federated learning
- Zheng Chai
- Hannan Fayyaz
- et al.
- 2019
- OpML 2019
Conference paperBESPOKV: Application tailored scale-out key-value stores
- Ali Anwar
- Yue Cheng
- et al.
- 2018
- SC 2018
Conference paperAnalyzing Alibaba's Co-located Datacenter Workloads
- Yue Cheng
- Ali Anwar
- et al.
- 2018
- Big Data 2018
Conference paper