Srinivasa Pranav

15 papers A 1Misc 3Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
FedBaF: Federated Learning Aggregation Biased by a Foundation Model.
AISTATS
Jong-Ik Park, Srinivasa Pranav, José M. F. Moura, Carlee Joe-Wong
2025 J jnl
GLUE: Gradient-free Learning to Unify Experts.
CoRR
Jong-Ik Park, Shreyas Chaudhari, Srinivasa Pranav, Carlee Joe-Wong, José M. F. Moura
2025 — conf
GradNetOT: Learning Optimal Transport Maps with GradNets.
CAMSAP
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2025 J jnl
GradNetOT: Learning Optimal Transport Maps with GradNets.
CoRR
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2025 J jnl
Gradient Networks.
IEEE Trans. Signal Process.
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2025 Misc conf
Peer-to-Peer Learning Dynamics of Wide Neural Networks.
ICASSP
Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura
2024 J jnl
FedBaF: Federated Learning Aggregation Biased by a Foundation Model.
CoRR
Jong-Ik Park, Srinivasa Pranav, José M. F. Moura, Carlee Joe-Wong
2024 J jnl
Gradient Networks.
CoRR
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2024 — conf
Peer-to-Peer Deep Learning for Beyond-5G IoT.
IEEECONF
Srinivasa Pranav, José M. F. Moura
2024 J jnl
Peer-to-Peer Learning Dynamics of Wide Neural Networks.
CoRR
Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura
2023 Misc conf
Learning Gradients of Convex Functions with Monotone Gradient Networks.
ICASSP
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2023 J jnl
Learning Gradients of Convex Functions with Monotone Gradient Networks.
CoRR
Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura
2023 J jnl
Peer-to-Peer Deep Learning for Beyond-5G IoT.
CoRR
Srinivasa Pranav, José M. F. Moura
2023 J jnl
Peer-to-Peer Learning + Consensus with Non-IID Data.
CoRR
Srinivasa Pranav, José M. F. Moura
2023 Misc conf
Peer-to-Peer Learning+Consensus with Non-IID Data.
ACSSC
Srinivasa Pranav, José M. F. Moura