Prakash, Saurav

8 publications

CVPR 2024 All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr

TMLR 2024 Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic

ICLR 2023 Machine Unlearning of Federated Clusters Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic

TMLR 2023 Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with Only Weak Clients Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr

TMLR 2023 Revisiting Sparsity Hunting in Federated Learning: Why Does Sparsity Consensus Matter? Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr

NeurIPSW 2022 Federated Learning of Large Models at the Edge via Principal Sub-Model Training Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr

NeurIPSW 2022 Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr

NeurIPSW 2021 Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training Ahmed Roushdy Elkordy, Saurav Prakash, Salman Avestimehr