41 citations · 63 across the 8 of their papers we have counts for
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cs.LG2023★ 1 cited
Scheduling Inference Workloads on Distributed Edge Clusters with Reinforcement Learning
Gabriele Castellano, Juan-José Nieto, Jordi Luque +6
Many real-time applications (e.g., Augmented/Virtual Reality, cognitive assistance) rely on Deep Neural Networks (DNNs) to process inference tasks. Edge computing is considered a k…
cs.LG2023★ 3 cited
Privacy and Efficiency of Communications in Federated Split Learning
Zongshun Zhang, Andrea Pinto, Valeria Turina +2
Everyday, large amounts of sensitive data is distributed across mobile phones, wearable devices, and other sensors. Traditionally, these enormous datasets have been processed on a…