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cs.DC2025
FailLite: Failure-Resilient Model Serving for Resource-Constrained Edge Environments
Li Wu, Walid A. Hanafy, Tarek Abdelzaher +3
Model serving systems have become popular for deploying deep learning models for various latency-sensitive inference tasks. While traditional replication-based methods have been us…
cs.DC2025
To Offload or Not To Offload: Model-driven Comparison of Edge-native and On-device Processing In the Era of Accelerators
Nathan Ng, David Irwin, Ananthram Swami +2
Computational offloading is a promising approach for overcoming resource constraints on client devices by moving some or all of an application's computations to remote servers. Wit…