The following publications are possibly variants of this publication:
- OneAdapt: Fast Adaptation for Deep Learning Applications via BackpropagationKuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang. CLOUD 2023: 158-176 [doi]
- Siren: Byzantine-robust Federated Learning via Proactive AlarmingHanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan. CLOUD 2021: 47-60 [doi]
- Auxo: Efficient Federated Learning via Scalable Client ClusteringJiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury. CLOUD 2023: 125-141 [doi]
- Pisces: efficient federated learning via guided asynchronous trainingZhifeng Jiang, Wei Wang 0030, Baochun Li, Bo Li. CLOUD 2022: 370-385 [doi]
- BASS: Improving I/O Performance for Cloud Block Storage via Byte-Addressable Storage StackHui Lu, Brendan Saltaformaggio, Cong Xu, Umesh Bellur, Dongyan Xu. CLOUD 2016: 169-181 [doi]
- μConAdapter: Reinforcement Learning-based Fast Concurrency Adaptation for Microservices in CloudJianshu Liu, Shungeng Zhang, Qingyang Wang 0001. CLOUD 2023: 427-442 [doi]