FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
- Zheng Chai
- Yujing Chen
- et al.
- 2021
- SC 2021
Conference paper
Publications
19 results for Yue Cheng
Wukong: A scalable and locality-enhanced framework for serverless parallel computing
- Benjamin Carver
- Jingyuan Zhang
- et al.
- 2020
- SoCC 2020
Conference paperCustomizable Scale-Out Key-Value Stores
- Ali Anwar
- Yue Cheng
- et al.
- 2020
- IEEE TPDS
PaperTiFL: A Tier-based Federated Learning System
- Zheng Chai
- Ahsan Ali
- et al.
- 2020
- HPDC 2020
Conference paperINFINICACHE: Exploiting ephemeral serverless functions to build a cost-effective memory cache
- Ao Wang
- Jingyuan Zhang
- et al.
- 2020
- FAST 2020
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 paperCharacterizing co-located datacenter workloads: An alibaba case study
- Yue Cheng
- Zheng Chai
- et al.
- 2018
- APSys 2018
Conference paper