24 citations · 33 across the 10 of their papers we have counts for
4 papers · 1 filter
Deep Demixing: Reconstructing the Evolution of Network Epidemics
Boning Li, Gojko Čutura, Ananthram Swami +1
We propose the deep demixing (DDmix) model, a graph autoencoder that can reconstruct epidemics evolving over networks from partial or aggregated temporal information. Assuming know…
Learnable Digital Twin for Efficient Wireless Network Evaluation
Boning Li, Timofey Efimov, Abhishek Kumar +4
Network digital twins (NDTs) facilitate the estimation of key performance indicators (KPIs) before physically implementing a network, thereby enabling efficient optimization of the…
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian
Yu Zhu, Boning Li, Santiago Segarra
We propose a flexible framework for defining the 1-Laplacian of a hypergraph that incorporates edge-dependent vertex weights. These weights are able to reflect varying importance o…
Learning to Transmit with Provable Guarantees in Wireless Federated Learning
Boning Li, Jake Perazzone, Ananthram Swami +1
We propose a novel data-driven approach to allocate transmit power for federated learning (FL) over interference-limited wireless networks. The proposed method is useful in challen…