Peer-to-Peer Learning+Consensus with Non-IID Data. - Srinivasa Pranav; José M. F. Moura (ACSSC, 2023)

Learning Gradients of Convex Functions with Monotone Gradient Networks. - Shreyas Chaudhari; Srinivasa Pranav; José M. F. Moura (ICASSP, 2023)

Peer-to-Peer Deep Learning for Beyond-5G IoT. - Srinivasa Pranav; José M. F. Moura (IEEECONF, 2024)

FedBaF: Federated Learning Aggregation Biased by a Foundation Model. - Jong-Ik Park; Srinivasa Pranav; José M. F. Moura; Carlee Joe-Wong (AISTATS, 2025)

Peer-to-Peer Learning Dynamics of Wide Neural Networks. - Shreyas Chaudhari; Srinivasa Pranav; Emile Anand; José M. F. Moura (ICASSP, 2025)

Gradient Networks. - Shreyas Chaudhari; Srinivasa Pranav; José M. F. Moura (IEEE Trans. Signal Process., 2025)

GradNetOT: Learning Optimal Transport Maps with GradNets. - Shreyas Chaudhari; Srinivasa Pranav; José M. F. Moura (CoRR, 2025)