| Relaxed quantization for discretized neural networks C Louizos, M Reisser, T Blankevoort, E Gavves, M Welling arXiv preprint arXiv:1810.01875, 2018 | 203 | 2018 |
| Federated mixture of experts M Reisser, C Louizos, E Gavves, M Welling arXiv preprint arXiv:2107.06724, 2021 | 13 | 2021 |
| Dp-rec: Private & communication-efficient federated learning A Triastcyn, M Reisser, C Louizos arXiv preprint arXiv:2111.05454, 2021 | 11 | 2021 |
| An expectation-maximization perspective on federated learning C Louizos, M Reisser, J Soriaga, M Welling arXiv preprint arXiv:2111.10192, 2021 | 9 | 2021 |
| Hyperparameter optimization through neural network partitioning B Mlodozeniec, M Reisser, C Louizos arXiv preprint arXiv:2304.14766, 2023 | 6 | 2023 |
| Quantization robust federated learning for efficient inference on heterogeneous devices K Gupta, M Fournarakis, M Reisser, C Louizos, M Nagel arXiv preprint arXiv:2206.10844, 2022 | 5 | 2022 |
| Decentralized learning with random walks and communication-efficient adaptive optimization A Triastcyn, M Reisser, C Louizos Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 4 | 2022 |
| Variance propagation for quantization M Reisser, M Welling, E Gavves, C Louizos US Patent App. 16/417,430, 2019 | 4 | 2019 |
| Joint pruning and quantization scheme for deep neural networks Y Lu, Y Wang, TPF Blankevoort, C Louizos, M Reisser, J Hou US Patent App. 17/030,315, 2021 | 3 | 2021 |
| Federated mixture models M Reisser, M Welling, E Gavves, C Louizos US Patent App. 17/756,957, 2023 | 2 | 2023 |
| Federated Averaging as Expectation Maximization C Louizos, M Reisser, J Soriaga, M Welling | 2 | 2020 |
| Federated Learning Toolkit with Voice-based User Verification Demo P Mandke, R Oberst, M Reisser, A Chakraborty, C Louizos, J Soriaga, ... Proceedings of INTERSPEECH 2023, 2023 | 1 | 2023 |
| Deep Learning for Compute in Memory M Reisser, S Pitre, X Zhu, H Teague, J Wang, M Welling Research Symposium on Tiny Machine Learning, 2020 | 1 | 2020 |
| Systems and methods for modifying neural networks for binary processing applications M Reisser, SK Pitre, X Zhu, EH Teague, Z Wang, M Welling US Patent 11,790,241, 2023 | | 2023 |
| A Mutual Information Perspective on Federated Contrastive Learning C Louizos, M Reisser, D Korzhenkov The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Sparsity-inducing federated machine learning C Louizos, H Hosseini, M Reisser, M Welling, JB Soriaga US Patent App. 18/040,111, 2023 | | 2023 |
| Federated mixture models M Reisser, M Welling, E Gavves, C Louizos US Patent App. 17/914,297, 2023 | | 2023 |
| Continuous relaxation of quantization for discretized deep neural networks C Louizos, M Reisser, TPF Blankevoort, M Welling US Patent 11,562,208, 2023 | | 2023 |
| Federated mixture models M REISSER, M Welling, E GAVVES, C LOUIZOS | | 2021 |
| AGraphical MODEL PERSPECTIVE ON FEDERATED LEARNING C Louizos, M Reisser, J Soriaga, M Welling | | |
