Yinwei Dai

According to our database, Yinwei Dai authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving.

Yinwei Dai, Rui Pan, Anand P. Iyer, Kai Li, Ravi Netravali

CoRR, 2023

ModelKeeper: Accelerating DNN Training via Automated Training Warmup.

Fan Lai, Yinwei Dai, Harsha V. Madhyastha, Mosharaf Chowdhury

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Auxo: Efficient Federated Learning via Scalable Client Clustering.

Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022

Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering.

Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury

CoRR, 2022

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale.

Fan Lai, Yinwei Dai, Sanjay Sri Vallabh Singapuram, Jiachen Liu, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury

Proceedings of the International Conference on Machine Learning, 2022

2021

FedScale: Benchmarking Model and System Performance of Federated Learning.

Fan Lai, Yinwei Dai, Xiangfeng Zhu, Mosharaf Chowdhury

CoRR, 2021

FedScale: Benchmarking Model and System Performance of Federated Learning.

Fan Lai, Yinwei Dai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury

Proceedings of the ResilientFL '21: Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning, 2021