260 citations · 809 across the 29 of their papers we have counts for
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cs.LG2022★ 22 cited
Energy Consumption of Neural Networks on NVIDIA Edge Boards: an Empirical Model
Seyyidahmed Lahmer, Aria Khoshsirat, Michele Rossi +1
Recently, there has been a trend of shifting the execution of deep learning inference tasks toward the edge of the network, closer to the user, to reduce latency and preserve data…
cs.LG2022★ 2 cited
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
Nicolò Dal Fabbro, Subhrakanti Dey, Michele Rossi +1
There is a growing interest in the distributed optimization framework that goes under the name of Federated Learning (FL). In particular, much attention is being turned to FL scena…