23 citations · 48 across the 4 of their papers we have counts for
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cs.LG2024
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Gyudong Kim, Mehdi Ghasemi, Soroush Heidari +4
Federated Learning (FL) is a practical approach to train deep learning models collaboratively across user-end devices, protecting user privacy by retaining raw data on-device. In F…
cs.LG2019★ 23 cited
ELSA: A Throughput-Optimized Design of an LSTM Accelerator for Energy-Constrained Devices
Elham Azari, Sarma Vrudhula
The next significant step in the evolution and proliferation of artificial intelligence technology will be the integration of neural network (NN) models within embedded and mobile…