| Adaptive gradient quantization for data-parallel sgd F Faghri, I Tabrizian, I Markov, D Alistarh, DM Roy, A Ramezani-Kebrya Advances in neural information processing systems 33, 3174-3185, 2020 | 81 | 2020 |
| Keep the dirt: tainted treekem, adaptively and actively secure continuous group key agreement K Klein, G Pascual-Perez, M Walter, C Kamath, M Capretto, M Cueto, ... 2021 IEEE Symposium on Security and Privacy (SP), 268-284, 2021 | 30 | 2021 |
| Elastic consistency: A general consistency model for distributed stochastic gradient descent G Nadiradze, I Markov, B Chatterjee, V Kungurtsev, D Alistarh arXiv preprint arXiv:2001.05918, 2020 | 21* | 2020 |
| Keep the dirt: Tainted treekem, adaptively and actively secure continuous group key agreement J Alwen, M Capretto, M Cueto, C Kamath, K Klein, I Markov, ... Cryptology ePrint Archive, 2019 | 18 | 2019 |
| SwarmSGD: Scalable decentralized SGD with local updates G Nadiradze, A Sabour, D Alistarh, A Sharma, I Markov, V Aksenov arXiv preprint arXiv:1910.12308, 2019 | 17 | 2019 |
| Towards end-to-end 4-bit inference on generative large language models S Ashkboos, I Markov, E Frantar, T Zhong, X Wang, J Ren, T Hoefler, ... arXiv preprint arXiv:2310.09259, 2023 | 15 | 2023 |
| Quantized distributed training of large models with convergence guarantees I Markov, A Vladu, Q Guo, D Alistarh International Conference on Machine Learning, 24020-24044, 2023 | 6 | 2023 |
| Decentralized SGD with asynchronous, local and quantized updates G Nadiradze, A Sabour, P Davies, I Markov, S Li, D Alistarh | 5 | 2019 |
| CGX: adaptive system support for communication-efficient deep learning I Markov, H Ramezanikebrya, D Alistarh Proceedings of the 23rd ACM/IFIP International Middleware Conference, 241-254, 2022 | 1 | 2022 |
| L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient and Accurate Deep Learning M Alimohammadi, I Markov, E Frantar, D Alistarh arXiv preprint arXiv:2210.17357, 2022 | 1 | 2022 |
| Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning A Nicolicioiu, E Iofinova, E Kurtic, M Nikdan, A Panferov, I Markov, ... arXiv preprint arXiv:2407.10994, 2024 | | 2024 |
| L-GreCo: Layerwise-adaptive Gradient Compression For Efficient Data-parallel Deep Learning I Markov, K Alim, E Frantar, D Alistarh Proceedings of Machine Learning and Systems 6, 312-324, 2024 | | 2024 |
| Sparse Expansion and Neuronal Disentanglement S Sawmya, L Kong, I Markov, D Alistarh, N Shavit arXiv preprint arXiv:2405.15756, 2024 | | 2024 |
| Elastic Consistency: A Consistency Criterion for Distributed Optimization D Alistarh, I Markov, G Nadiradze ACM SIGACT News 53 (2), 64-82, 2022 | | 2022 |
| PopSGD: Decentralized Stochastic Gradient Descent in the Population Model G Nadiradze, A Sabour, A Sharma, I Markov, V Aksenov, D Alistarh | | 2019 |
