Saurav Prakash

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Agglomerative Hierarchical Clustering

Top Venues

Trans. Mach. Learn. Res.

IEEE Trans. Inf. Theory

Publications

Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. CoRR (2024)
Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. Trans. Mach. Learn. Res. 2024 (2024)
Yue Niu, Saurav Prakash, Salman Avestimehr
ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys. CoRR (2024)
Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr
All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CoRR (2023)
Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic
Machine Unlearning of Federated Clusters. ICLR (2023)
Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr
Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? Trans. Mach. Learn. Res. 2023 (2023)
Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. CoRR (2023)
Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr
Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients. Trans. Mach. Learn. Res. 2023 (2023)
Ahmed Roushdy Elkordy, Saurav Prakash, Salman Avestimehr
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. IEEE J. Sel. Areas Commun. 40 (9) (2022)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. IEEE/ACM Trans. Netw. 30 (1) (2022)
Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge. CoRR (2022)
Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr
Federated Learning of Large Models at the Edge via Principal Sub-Model Training. CoRR (2022)
Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic
Machine Unlearning of Federated Clusters. CoRR (2022)
Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat
Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Ahmed Roushdy Elkordy, Saurav Prakash, Amir Salman Avestimehr
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. CoRR (2021)
Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT (2020)
Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Amir Salman Avestimehr, Nageen Himayat
Coded Computing for Federated Learning at the Edge. CoRR (2020)
Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks. CoRR (2020)
Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat
Coded Federated Learning. CoRR (2020)
Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory 66 (10) (2020)
Saurav Prakash, Amir Salman Avestimehr
Mitigating Byzantine Attacks in Federated Learning. CoRR (2020)
Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat
Coded Federated Learning. GLOBECOM Workshops (2019)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory 65 (7) (2019)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR (2019)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr
Tree Gradient Coding. ISIT (2019)
Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs. CoRR (2019)
Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg
pSConv: A Pre-defined S parse Kernel Based Convolution for Deep CNNs. Allerton (2019)
Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat
Coded Computing for Distributed Machine Learning in Wireless Edge Network. VTC Fall (2019)
Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr
Coded Computing for Distributed Graph Analytics. CoRR (2018)
Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr
Coded Computing for Distributed Graph Analytics. ISIT (2018)
Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr
Coded computation over heterogeneous clusters. ISIT (2017)
Amirhossein Reisizadehmobarakeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr
Coded Computation over Heterogeneous Clusters. CoRR (2017)