10 citations · 24 across the 4 of their papers we have counts for
4 papers
Making Network Configuration Human Friendly
Changjie Wang, Mariano Scazzariello, Alireza Farshin +2
This paper explores opportunities to utilize Large Language Models (LLMs) to make network configuration human-friendly, simplifying the configuration of network devices and minimiz…
Fast Server Learning Rate Tuning for Coded Federated Dropout
Giacomo Verardo, Daniel Barreira, Marco Chiesa +2
In cross-device Federated Learning (FL), clients with low computational power train a common\linebreak[4] machine model by exchanging parameters via updates instead of potentially…
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks
Daniel F. Perez-Ramirez, Carlos Pérez-Penichet, Nicolas Tsiftes +3
Novel backscatter communication techniques enable battery-free sensor tags to interoperate with unmodified standard IoT devices, extending a sensor network's capabilities in a scal…
Assise: Performance and Availability via NVM Colocation in a Distributed File System
Thomas E. Anderson, Marco Canini, Jongyul Kim +6
The adoption of very low latency persistent memory modules (PMMs) upends the long-established model of disaggregated file system access. Instead, by colocating computation and PMM…