Kumar Kshitij Patel
Kumar Kshitij Patel
Phd Student, TTIC
Verified email at - Homepage
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Don't use large mini-batches, use local SGD
T Lin, SU Stich, KK Patel, M Jaggi
arXiv preprint arXiv:1808.07217, 2018
Is local SGD better than minibatch SGD?
B Woodworth, KK Patel, S Stich, Z Dai, B Bullins, B Mcmahan, O Shamir, ...
International Conference on Machine Learning, 10334-10343, 2020
Minibatch vs local sgd for heterogeneous distributed learning
BE Woodworth, KK Patel, N Srebro
Advances in Neural Information Processing Systems 33, 6281-6292, 2020
Communication trade-offs for local-sgd with large step size
KK Patel, A Dieuleveut
Advances In Neural Information Processing Systems 32 (32), 2825-2830, 2019
Corruption-tolerant bandit learning
S Kapoor, KK Patel, P Kar
Machine Learning 108 (4), 687-715, 2019
A stochastic newton algorithm for distributed convex optimization
B Bullins, K Patel, O Shamir, N Srebro, BE Woodworth
Advances in Neural Information Processing Systems 34, 26818-26830, 2021
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization
KK Patel, L Wang, B Woodworth, B Bullins, N Srebro
Advances in Neural Information Systems 36, 2022
On Convexity and Linear Mode Connectivity in Neural Networks
D Yunis, KK Patel, PHP Savarese, G Vardi, J Frankle, M Walter, K Livescu, ...
OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022
Federated online and bandit convex optimization
KK Patel, L Wang, A Saha, N Srebro
International Conference on Machine Learning, 27439-27460, 2023
The limits and potentials of local sgd for distributed heterogeneous learning with intermittent communication
KK Patel, M Glasgow, A Zindari, L Wang, SU Stich, Z Cheng, N Joshi, ...
arXiv preprint arXiv:2405.11667, 2024
On the Effect of Defections in Federated Learning and How to Prevent Them
M Han, KK Patel, H Shao, L Wang
arXiv preprint arXiv:2311.16459, 2023
Online Combinatorial Optimization with Group Fairness Constraints
N Golrezaei, R Niazadeh, KK Patel, F Susan
Available at SSRN 4824251, 2024
Private Overparameterized Linear Regression without Suffering in High Dimensions
L Wang, D Zou, KK Patel, J Wu, N Srebro
Urban Heat Effect in Ghent: a Time Series Analysis
KK Patel, S Roels
Personalization Mitigates the Perils of Local SGD for Heterogeneous Distributed Learning
KK Patel, N Gazagnadou, L Wang, L Lyu
One Shot Learning in Humans: A Non-Parametric Bayesian Model
KK Patel
Paraphrase Generation Using Deep Generative Models Final Project Report CS-772
N Asnani, K Gandhi, KK Patel
Efficient Private Federated Non-Convex Optimization With Shuffled Model
L Wang, X Zhou, KK Patel, L Tang, A Saha
Privacy Regulation and Protection in Machine Learning, 0
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