4 papers
Network Adaptive Federated Learning: Congestion and Lossy Compression
Parikshit Hegde, Gustavo de Veciana, Aryan Mokhtari
In order to achieve the dual goals of privacy and learning across distributed data, Federated Learning (FL) systems rely on frequent exchanges of large files (model updates) betwee…
On Shared Rate Time Series for Mobile Users in Poisson Networks
Pranav Madadi, François Baccelli, Gustavo de Veciana
This paper focuses on modeling and analysis of the temporal performance variations experienced by a mobile user in a wireless network and its impact on system level design. We cons…
Multi-Tenant Radio Access Network Slicing: Statistical Multiplexing of Spatial Loads
P. Caballero, A. Banchs, G. de Veciana +1
This paper addresses the slicing of Radio Access Network (RAN) resources by multiple tenants, e.g., virtual wireless operators and service providers. We consider a criterion for dy…
A Quantile-Based Sequential Feedback Scheme via Overhearing in Multicarrier Access Networks
Seung Jun Baek, Gustavo de Veciana
We propose a scheme to reduce the overhead associated with channel state information (CSI) feedback required for opportunistic scheduling in multicarrier access networks. We study…