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ORCIDKumar Kshitij Patel
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2020 – today
- 2024
[c9]Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro:
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication. COLT 2024: 4115-4157- [c8]Negin Golrezaei, Rad Niazadeh, Kumar Kshitij Patel, Fransisca Susan:
Online Combinatorial Optimization with Group Fairness Constraints. IJCAI 2024: 394-402 - [i9]Kumar Kshitij Patel, Margalit Glasgow, Ali Zindari, Lingxiao Wang, Sebastian U. Stich, Ziheng Cheng, Nirmit Joshi, Nathan Srebro:
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication. CoRR abs/2405.11667 (2024) - [i8]Anmol Kabra, Kumar Kshitij Patel:
The Limitations of Model Retraining in the Face of Performativity. CoRR abs/2408.08499 (2024) - [i7]David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew R. Walter:
Approaching Deep Learning through the Spectral Dynamics of Weights. CoRR abs/2408.11804 (2024) - 2023
- [c7]Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro:
Federated Online and Bandit Convex Optimization. ICML 2023: 27439-27460 - [i6]Minbiao Han, Kumar Kshitij Patel, Han Shao, Lingxiao Wang:
On the Effect of Defections in Federated Learning and How to Prevent Them. CoRR abs/2311.16459 (2023) - [i5]Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nati Sebro:
Federated Online and Bandit Convex Optimization. CoRR abs/2311.17586 (2023) - 2022
- [c6]Kumar Kshitij Patel, Lingxiao Wang, Blake E. Woodworth, Brian Bullins, Nati Srebro:
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization. NeurIPS 2022 - 2021
- [c5]Brian Bullins, Kumar Kshitij Patel, Ohad Shamir, Nathan Srebro, Blake E. Woodworth:
A Stochastic Newton Algorithm for Distributed Convex Optimization. NeurIPS 2021: 26818-26830 - [i4]Brian Bullins, Kumar Kshitij Patel, Ohad Shamir, Nathan Srebro, Blake E. Woodworth:
A Stochastic Newton Algorithm for Distributed Convex Optimization. CoRR abs/2110.02954 (2021) - 2020
- [c4]Tao Lin
, Sebastian U. Stich, Kumar Kshitij Patel, Martin Jaggi:
Don't Use Large Mini-batches, Use Local SGD. ICLR 2020 - [c3]Blake E. Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro:
Is Local SGD Better than Minibatch SGD? ICML 2020: 10334-10343 - [c2]Blake E. Woodworth, Kumar Kshitij Patel, Nati Srebro:
Minibatch vs Local SGD for Heterogeneous Distributed Learning. NeurIPS 2020 - [i3]Blake E. Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro:
Is Local SGD Better than Minibatch SGD? CoRR abs/2002.07839 (2020) - [i2]Blake E. Woodworth, Kumar Kshitij Patel, Nathan Srebro:
Minibatch vs Local SGD for Heterogeneous Distributed Learning. CoRR abs/2006.04735 (2020)
2010 – 2019
- 2019
- [j1]Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar:
Corruption-tolerant bandit learning. Mach. Learn. 108(4): 687-715 (2019) - [c1]Aymeric Dieuleveut, Kumar Kshitij Patel:
Communication trade-offs for Local-SGD with large step size. NeurIPS 2019: 13579-13590 - [i1]Kumar Kshitij Patel, Aymeric Dieuleveut:
Communication trade-offs for synchronized distributed SGD with large step size. CoRR abs/1904.11325 (2019)
Coauthor Index
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