2 papers
cs.DC2026
Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
Nathan Ng, Walid A. Hanafy, Prashanthi Kadambi +5
IoT applications increasingly rely on on-device AI accelerators to ensure high performance, especially in low-connectivity and safety-critical scenarios. However, the limited on-ch…
cs.DC2026
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…