The communication between data-generating devices is partially responsib...
The performance of deep neural networks is often attributed to their
aut...
The performance of deep neural networks is often attributed to their
aut...
We propose an efficient distributed online learning protocol for low-lat...
We consider distributed online learning protocols that control the excha...
An approach to distributed machine learning is to train models on local
...
One of the main tasks of cybersecurity is recognizing malicious interact...
We propose a novel transfer learning approach for orphan screening calle...
We present a novel parallelisation scheme that simplifies the adaptation...
We propose an efficient protocol for decentralized training of deep neur...