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Sai Praneeth Karimireddy

Observed names: Karimireddy, Sai P., Karimireddy, Sai Praneeth, Karimireddy, Sai Praneeth Reddy
Observed institutions: University of Southern California, Berkeley College, California Southern University, École Polytechnique Fédérale de Lausanne, Thomas University, Southern States University, University of California, Berkeley
ORCID: 0000-0003-0661-2801
Observed ORCID: 0000-0003-0661-2801
OpenAlex ID: A5026569995
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
2019 · Karimireddy, Sai Praneeth, Kale, Satyen, et al. · arXiv (Cornell University) · 686
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SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning.
2019 · Sai Praneeth Karimireddy, Satyen Kale, et al. · 200
A Field Guide to Federated Optimization
2021 · Wang, Jianyu, Charles, Zachary, et al. · arXiv (Cornell University) · 155
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PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
2019 · Vogels, Thijs, Karimireddy, Sai Praneeth, et al. · arXiv (Cornell University) · 142
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Error Feedback Fixes SignSGD and other Gradient Compression Schemes
2019 · Karimireddy, Sai Praneeth, Rebjock, Quentin, et al. · arXiv (Cornell University) · 137
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Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
2020 · Karimireddy, Sai Praneeth, Jaggi, Martin, et al. · arXiv (Cornell University) · 86
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FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
2022 · Jean Ogier Du Terrail, Samy-Safwan Ayed, et al. · neural information processing systems · 77
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication
2019 · Stich, Sebastian U., Karimireddy, Sai Praneeth · arXiv (Cornell University) · 67
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Why are Adaptive Methods Good for Attention Models?
2019 · Zhang, Jingzhao, Karimireddy, Sai Praneeth, et al. · arXiv (Cornell University) · 53
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Learning from History for Byzantine Robust Optimization
2020 · Karimireddy, Sai Praneeth, He, Lie, et al. · arXiv (Cornell University) · 49
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Why ADAM Beats SGD for Attention Models
2019 · Jingzhao Zhang, Sai Praneeth Karimireddy, et al. · 49
Secure Byzantine-Robust Machine Learning
2020 · He, Lie, Karimireddy, Sai Praneeth, et al. · arXiv (Cornell University) · 38
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FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
2022 · Terrail, Jean Ogier du, Ayed, Samy-Safwan, et al. · arXiv (Cornell University) · 37
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Breaking the centralized barrier for cross-device federated learning
2021 · Sai Praneeth Karimireddy, Martin Jaggi, et al. · neural information processing systems · 30
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
2021 · Lin, Tao, Karimireddy, Sai Praneeth, et al. · arXiv (Cornell University) · 30
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Byzantine-Robust Learning on Heterogeneous Datasets via Resampling
2021 · Lie He, Sai Praneeth Karimireddy, et al. · arXiv (Cornell University) · 23
Practical Low-Rank Communication Compression in Decentralized Deep Learning
2020 · Thijs Vogels, Sai Praneeth Karimireddy, et al. · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 20
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Global linear convergence of Newton's method without strong-convexity or Lipschitz gradients
2018 · Karimireddy, Sai Praneeth, Stich, Sebastian U., et al. · arXiv (Cornell University) · 19
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Mechanisms that Incentivize Data Sharing in Federated Learning
2022 · Karimireddy, Sai Praneeth, Guo, Wenshuo, et al. · RePEc: Research Papers in Economics · 14
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Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
2020 · Karimireddy, Sai Praneeth, He, Lie, et al. · arXiv (Cornell University) · 13
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Accelerating Gradient Boosting Machine
2019 · Lu, Haihao, Karimireddy, Sai Praneeth, et al. · arXiv (Cornell University) · 12
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Federated Learning Showdown: The Comparative Analysis of Federated Learning Frameworks
2023 · Sai Praneeth Karimireddy, Narasimha Raghavan Veeraragavan, et al. · International Conference on Fog and Mobile Edge Computing (FMEC) · 9
Efficient Greedy Coordinate Descent for Composite Problems
2018 · Karimireddy, Sai Praneeth, Koloskova, Anastasia, et al. · arXiv (Cornell University) · 9
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PowerGossip: Practical Low-Rank Communication Compression in Decentralized Deep Learning
2020 · Vogels, Thijs, Karimireddy, Sai Praneeth, et al. · arXiv (Cornell University) · 8
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Agree to Disagree: Diversity through Disagreement for Better Transferability
2022 · Pagliardini, Matteo, Jaggi, Martin, et al. · arXiv (Cornell University) · 7
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Works count: 84
Citation count: 2,040
H-index: 18
I10-index: 21
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