Sai Praneeth Karimireddy
Sai Praneeth Karimireddy
PhD student, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
SP Karimireddy, S Kale, M Mohri, SJ Reddi, SU Stich, AT Suresh
ICML 2020 - International Conference on Machine Learning, 2019
1652019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
SP Karimireddy, Q Rebjock, SU Stich, M Jaggi
ICML 2019 - International Conference on Machine Learning, 2019
1602019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
T Vogels, SP Karimireddy, M Jaggi
NeurIPS 2019 - Conference on Neural Information Processing Systems, 2019
592019
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication
SU Stich, SP Karimireddy
JMLR 2020 - Journal of Machine Learning Research, 2019
582019
Why ADAM Beats SGD for Attention Models
J Zhang, SP Karimireddy, A Veit, S Kim, SJ Reddi, S Kumar, S Sra
NeurIPS 2020 - Conference on Neural Information Processing Systems, 2019
44*2019
Assignment techniques for crowdsourcing sensitive tasks
LE Celis, SP Reddy, IP Singh, S Vaya
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative …, 2016
242016
On Matching Pursuit and Coordinate Descent
F Locatello, A Raj, SP Karimireddy, G Rätsch, B Schölkopf, SU Stich, ...
ICML 2018 - Proceedings of the 35th International Conference on Machine Learning, 2018
19*2018
Global linear convergence of Newton's method without strong-convexity or Lipschitz gradients
SP Karimireddy, SU Stich, M Jaggi
NeurIPS 2019 Workshop 'Beyond First Order Methods in ML', 2018
182018
Accelerating Gradient Boosting Machine
H Lu*, SP Karimireddy*, N Ponomareva, V Mirrokni
AISTATS 2020 - International Conference on Artificial Intelligence and …, 2019
162019
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
SP Karimireddy, M Jaggi, S Kale, M Mohri, SJ Reddi, SU Stich, AT Suresh
arXiv preprint arXiv:2008.03606, 2020
152020
Multi-Broadcasting under the SINR Model
SP Karimireddy, DR Kowalski, S Vaya
PODC 2016 - Proceedings of the 2016 ACM Symposium on Principles of …, 2015
12*2015
Secure Byzantine-Robust Machine Learning
L He, SP Karimireddy, M Jaggi
arXiv preprint arXiv:2006.04747, 2020
102020
Efficient Greedy Coordinate Descent for Composite Problems
SP Karimireddy*, A Koloskova*, SU Stich, M Jaggi
AISTATS 2019 - International Conference on Artificial Intelligence and …, 2018
92018
Adaptive balancing of gradient and update computation times using global geometry and approximate subproblems
SP Karimireddy, S Stich, M Jaggi
AISTATS 2018 - International Conference on Artificial Intelligence and …, 2018
92018
Byzantine-Robust Learning on Heterogeneous Datasets via Resampling
L He*, SP Karimireddy*, M Jaggi
arXiv preprint arXiv:2006.09365, 2020
72020
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
T Lin, SP Karimireddy, SU Stich, M Jaggi
ICML 2021 - International Conference on Machine Learning, 2021
42021
PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning
T Vogels, SP Karimireddy, M Jaggi
NeurIPS 2020 - Conference on Neural Information Processing Systems, 2020
4*2020
Learning from History for Byzantine Robust Optimization
SP Karimireddy, L He, M Jaggi
ICML 2021 - International Conference on Machine Learning, 2020
22020
Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning
F Grimberg, MA Hartley, M Jaggi, SP Karimireddy
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
12020
Some results on a class of mixed van der Waerden numbers
K Maran, SP Reddy, D Sharma, A Tripathi
Rocky Mountain Journal of Mathematics 48 (3), 885-904, 2018
2018
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Articles 1–20