Прати
Saurav Prakash
Saurav Prakash
Assistant Professor, IIT Madras; Visiting Researcher, UIUC; Visiting Researcher, MBZUAI
Верификована је имејл адреса на ee.iitm.ac.in - Почетна страница
Наслов
Навело
Навело
Година
Coded computation over heterogeneous clusters
A Reisizadeh, S Prakash, R Pedarsani, AS Avestimehr
IEEE Transactions on Information Theory 65 (7), 4227-4242, 2019
3082019
Coded computation over heterogeneous clusters
A Reisizadeh, S Prakash, R Pedarsani, S Avestimehr
2017 IEEE International Symposium on Information Theory (ISIT), 2017
2962017
Technologies for distributing iterative computations in heterogeneous computing environments
S Prakash, S Dhakal, Y Yona, N Himayat, S Talwar
US Patent US011423254B2, 2022
1552022
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
S Prakash, S Dhakal, MR Akdeniz, Y Yona, S Talwar, S Avestimehr, ...
IEEE Journal on Selected Areas in Communications 39 (1), 233-250, 2020
1142020
Technologies for distributing gradient descent computation in a heterogeneous multi-access edge computing (MEC) networks
S Prakash, S Dhakal, Y Yona, N Himayat, S Talwar
US Patent 11,244,242, 2022
802022
Coded computing for distributed graph analytics
S Prakash, A Reisizadeh, R Pedarsani, AS Avestimehr
IEEE Transactions on Information Theory, 2020
632020
Coded computing for distributed graph analytics
S Prakash, A Reisizadeh, R Pedarsani, S Avestimehr
2018 IEEE International Symposium on Information Theory (ISIT), 1221-1225, 2018
632018
Secure and Fault Tolerant Decentralized Learning
S Prakash, H Hashemi, Y Wang, M Annavaram, AS Avestimehr
arXiv preprint arXiv:2010.07541v5, 2022
59*2022
Machine Unlearning of Federated Clusters
C Pan*, J Sima*, S Prakash*, V Rana, ...
International Conference on Learning Representations (ICLR), 2023
342023
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning
A Reisizadeh*, S Prakash*, R Pedarsani, ...
IEEE/ACM Transactions on Networking, 2021
342021
Coded Computing for Distributed Machine Learning in Wireless Edge Network
S Dhakal*, S Prakash*, Y Yona, S Talwar, ...
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019
332019
Tree Gradient Coding
A Reisizadeh*, S Prakash*, R Pedarsani, ...
2019 IEEE International Symposium on Information Theory (ISIT), 2019
282019
Basil: A fast and byzantine-resilient approach for decentralized training
AR Elkordy, S Prakash, S Avestimehr
IEEE Journal on Selected Areas in Communications 40 (9), 2694-2716, 2022
242022
Hierarchical Coded Gradient Aggregation for Learning at the Edge
S Prakash, A Reisizadeh, R Pedarsani, AS Avestimehr
2020 IEEE International Symposium on Information Theory (ISIT), 2616-2621, 2020
232020
Systems and methods for distributed learning for wireless edge dynamics
MR Akdeniz, A Anand, N Himayat, AS Avestimehr, R Balakrishnan, ...
WO Patent App. WO/2021/158,313, 2021
182021
Federated sparse training: Lottery aware model compression for resource constrained edge
S Babakniya, S Kundu, S Prakash, Y Niu, S Avestimehr
Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022
172022
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
S Kundu*, S Prakash*, H Akrami, PA Beerel, ...
2019 57th Annual Allerton Conference on Communication, Control, and Computing, 2019
17*2019
Coded Computing for Federated Learning at the Edge
S Prakash, S Dhakal, M Akdeniz, AS Avestimehr, N Himayat
arXiv preprint arXiv:2007.03273, 2020
152020
Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter?
S Babakniya, S Kundu, S Prakash, Y Niu, S Avestimehr
Transactions on Machine Learning Research, 2023
132023
Federated Learning of Large Models at the Edge via Principal Sub-Model Training
Y Niu*, S Prakash*, S Kundu, S Lee, S Avestimehr (* = equal contribution)
arXiv preprint arXiv:2208.13141, 2022
132022
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