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

https://doi.org/10.1145/3694715

Dai, Yinwei; Pan, Rui; Iyer, Anand; Li, Kai; Netravali, Ravi (November 2024, ACM)

Free, publicly-accessible full text available November 4, 2025
Auxo: Efficient Federated Learning via Scalable Client Clustering

https://doi.org/10.1145/3620678.3624651

Liu, Jiachen; Lai, Fan; Dai, Yinwei; Akella, Aditya; Madhyastha, Harsha V; Chowdhury, Mosharaf (October 2023, ACM)

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ModelKeeper: Accelerating DNN Training via Automated Training Warmup

Lai, Fan; Dai, Yinwei; Madhyastha, Harsha V.; Chowdhury, Mosharaf (January 2023, USENIX NSDI)

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FedScale: Benchmarking model and system performance of federated learning at scale

Lai, Fan; Dai, Yinwei; Singapuram, Sanjay S.; Liu, Jiachen; Zhu, Xiangfeng; Madhyastha, Harsha V.; Mosharaf Chowdhury (July 2022, ICML)

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FedScale: Benchmarking Model and System Performance of Federated Learning

https://doi.org/10.1145/3477114.3488760

Lai, Fan; Dai, Yinwei; Zhu, Xiangfeng; Madhyastha, Harsha V.; Chowdhury, Mosharaf (October 2021, ResilientFL Workshop)

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