Continuous detection of human activities and presence is essential for
d...
Detecting dangerous driving has been of critical interest for the past f...
Next-generation smart city applications, attributed by the power of Inte...
We propose Compressed Vertical Federated Learning (C-VFL) for
communicat...
We consider federated learning in tiered communication networks. Our net...
We consider decentralized model training in tiered communication network...
We propose Multi-Level Local SGD, a distributed gradient method for lear...
We present a framework for scheduling multifunction serverless applicati...
We propose a nonparametric parameter estimation of confidence intervals ...
We present a framework for performance optimization in serverless edge-c...
Federated Learning enables training of a general model through edge devi...
The emerging trend of edge computing has led several cloud providers to
...