| KungFu: Making Training in Distributed Machine Learning Adaptive L Mai, G Li, M Wagenländer, K Fertakis, AO Brabete, P Pietzuch 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020 | 66 | 2020 |
| Taming hyper-parameters in deep learning systems L Mai, A Koliousis, G Li, AO Brabete, P Pietzuch ACM SIGOPS Operating Systems Review 53 (1), 52-58, 2019 | 27 | 2019 |
| Towards NLP with deep learning: Convolutional neural networks and recurrent neural networks for offensive language identification in social media AB Puiu, AO Brabete arXiv preprint arXiv:1903.00665, 2019 | 3 | 2019 |
| ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models Y Fu, L Xue, Y Huang, AO Brabete, D Ustiugov, Y Patel, L Mai arXiv preprint arXiv:2401.14351, 2024 | 2 | 2024 |
| Kungfu: A Novel Distributed Training System for TensorFlow using Flexible Synchronisation AO Brabete, P Pietzuch, D Tuncer | | 2019 |
| Phantom: Low-Latency Serverless Inference for Large Language Models Y Fu, L Xue, Y Huang, AO Brabete, D Ustiugov, Y Patel, L Mai | | |
| Adaptive Distributed Training of Deep Learning Models L Mai, G Li, AO Brabete, A Koliousis, P Pietzuch | | |
