2 papers
eess.SP2020
Federated Deep Unfolding for Sparse Recovery
Komal Krishna Mogilipalepu, Sumanth Kumar Modukuri, Amarlingam Madapu +1
This paper proposes a federated learning technique for deep algorithm unfolding with applications to sparse signal recovery and compressed sensing. We refer to this architecture as…
eess.SP2019
Generative Adversarial Networks For Graph Data Imputation From Signed Observations
Amarlingam Madapu, Santiago Segarra, Sundeep Prabhakar Chepuri +1
We study the problem of missing data imputation for graph signals from signed one-bit quantized observations. More precisely, we consider that the true graph data is drawn from a d…