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ORCIDSaurav Prakash
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2020 – today
- 2024
[j8]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)- [c9]Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr:
All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CVPR 2024: 12353-12362 - [i16]Yue Niu, Saurav Prakash, Salman Avestimehr:
ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys. CoRR abs/2403.02352 (2024) - [i15]Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr:
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. CoRR abs/2406.15125 (2024) - 2023
- [j7]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) - [j6]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) - [c8]Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic:
Machine Unlearning of Federated Clusters. ICLR 2023 - [i14]Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic:
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. CoRR abs/2308.06895 (2023) - [i13]Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr:
All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CoRR abs/2312.05264 (2023) - 2022
- [j5]Ahmed Roushdy Elkordy
, Saurav Prakash, Salman Avestimehr:
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. IEEE J. Sel. Areas Commun. 40(9): 2694-2716 (2022) - [j4]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): 148-161 (2022) - [i12]Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr:
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge. CoRR abs/2208.13092 (2022) - [i11]Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr:
Federated Learning of Large Models at the Edge via Principal Sub-Model Training. CoRR abs/2208.13141 (2022) - [i10]Chao Pan, Jin Sima, Saurav Prakash, Vishal Rana, Olgica Milenkovic:
Machine Unlearning of Federated Clusters. CoRR abs/2210.16424 (2022) - 2021
- [j3]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): 233-250 (2021) - [i9]Ahmed Roushdy Elkordy, Saurav Prakash, Amir Salman Avestimehr:
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. CoRR abs/2109.07706 (2021) - 2020
- [j2]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory 66(10): 6534-6554 (2020) - [c7]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT 2020: 2616-2621 - [i8]Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat:
Coded Federated Learning. CoRR abs/2002.09574 (2020) - [i7]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Amir Salman Avestimehr, Nageen Himayat:
Coded Computing for Federated Learning at the Edge. CoRR abs/2007.03273 (2020) - [i6]Saurav Prakash, Amir Salman Avestimehr:
Mitigating Byzantine Attacks in Federated Learning. CoRR abs/2010.07541 (2020) - [i5]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 abs/2011.06223 (2020)
2010 – 2019
- 2019
- [j1]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory 65(7): 4227-4242 (2019) - [c6]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: 100-107 - [c5]Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat:
Coded Federated Learning. GLOBECOM Workshops 2019: 1-6 - [c4]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Tree Gradient Coding. ISIT 2019: 2808-2812 - [c3]Sagar Dhakal, Saurav Prakash, Yair Yona, Shilpa Talwar, Nageen Himayat:
Coded Computing for Distributed Machine Learning in Wireless Edge Network. VTC Fall 2019: 1-6 - [i4]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR abs/1902.01981 (2019) - [i3]Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg:
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs. CoRR abs/1910.00724 (2019) - 2018
- [c2]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. ISIT 2018: 1221-1225 - [i2]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. CoRR abs/1801.05522 (2018) - 2017
- [c1]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr:
Coded computation over heterogeneous clusters. ISIT 2017: 2408-2412 - [i1]Amirhossein Reisizadehmobarakeh, Saurav Prakash, Ramtin Pedarsani, Salman Avestimehr:
Coded Computation over Heterogeneous Clusters. CoRR abs/1701.05973 (2017)
Coauthor Index
aka: Salman Avestimehr
aka: Amirhossein Reisizadehmobarakeh
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