| 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 | 165 | 2019 |
| 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 | 160 | 2019 |
| PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization T Vogels, SP Karimireddy, M Jaggi NeurIPS 2019 - Conference on Neural Information Processing Systems, 2019 | 59 | 2019 |
| 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 | 58 | 2019 |
| 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 | 24 | 2016 |
| 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 | 18 | 2018 |
| Accelerating Gradient Boosting Machine H Lu*, SP Karimireddy*, N Ponomareva, V Mirrokni AISTATS 2020 - International Conference on Artificial Intelligence and …, 2019 | 16 | 2019 |
| 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 | 15 | 2020 |
| 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 | 10 | 2020 |
| Efficient Greedy Coordinate Descent for Composite Problems SP Karimireddy*, A Koloskova*, SU Stich, M Jaggi AISTATS 2019 - International Conference on Artificial Intelligence and …, 2018 | 9 | 2018 |
| 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 | 9 | 2018 |
| Byzantine-Robust Learning on Heterogeneous Datasets via Resampling L He*, SP Karimireddy*, M Jaggi arXiv preprint arXiv:2006.09365, 2020 | 7 | 2020 |
| 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 | 4 | 2021 |
| 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 | 2 | 2020 |
| 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 | 1 | 2020 |
| 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 |
Martin JaggiEPFLVerified email at epfl.ch
