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ORCIDDan Alistarh
- > Home > Persons > Dan Alistarh
Publications
- 2024
[c112]Ilia Markov, Kaveh Alim, Elias Frantar, Dan Alistarh:
L-GreCo: Layerwise-adaptive Gradient Compression For Efficient Data-parallel Deep Learning. MLSys 2024- [i101]Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir Shavit:
Sparse Expansion and Neuronal Disentanglement. CoRR abs/2405.15756 (2024) - [i99]Armand Nicolicioiu, Eugenia Iofinova, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir Shavit, Dan Alistarh:
Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning. CoRR abs/2407.10994 (2024) - 2023
- [c105]Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh:
Quantized Distributed Training of Large Models with Convergence Guarantees. ICML 2023: 24020-24044 - [i97]Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh:
Quantized Distributed Training of Large Models with Convergence Guarantees. CoRR abs/2302.02390 (2023) - [i79]Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh:
Towards End-to-end 4-Bit Inference on Generative Large Language Models. CoRR abs/2310.09259 (2023) - 2022
- [j24]Dan Alistarh, Ilia Markov, Giorgi Nadiradze:
Elastic Consistency: A Consistency Criterion for Distributed Optimization. SIGACT News 53(2): 64-82 (2022) - [c95]Ilia Markov, Hamidreza Ramezani-Kebrya, Dan Alistarh:
CGX: adaptive system support for communication-efficient deep learning. Middleware 2022: 241-254 - [i63]Mohammadreza Alimohammadi, Ilia Markov, Elias Frantar, Dan Alistarh:
L-GreCo: An Efficient and General Framework for Layerwise-Adaptive Gradient Compression. CoRR abs/2210.17357 (2022) - 2021
- [c89]Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh:
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent. AAAI 2021: 9037-9045 - [i49]Ilia Markov, Hamidreza Ramezani-Kebrya, Dan Alistarh:
Project CGX: Scalable Deep Learning on Commodity GPUs. CoRR abs/2111.08617 (2021) - 2020
- [c69]Fartash Faghri, Iman Tabrizian, Ilia Markov, Dan Alistarh, Daniel M. Roy, Ali Ramezani-Kebrya:
Adaptive Gradient Quantization for Data-Parallel SGD. NeurIPS 2020 - [i31]Fartash Faghri, Iman Tabrizian, Ilia Markov, Dan Alistarh, Daniel M. Roy, Ali Ramezani-Kebrya
:
Adaptive Gradient Quantization for Data-Parallel SGD. CoRR abs/2010.12460 (2020) - 2019
- [i25]Giorgi Nadiradze, Amirmojtaba Sabour, Aditya Sharma, Ilia Markov, Vitaly Aksenov, Dan Alistarh:
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model. CoRR abs/1910.12308 (2019)
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