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Matthias Reisser
Matthias Reisser
Qualcomm AI Research
Verified email at qti.qualcomm.com
Title
Cited by
Cited by
Year
Relaxed quantization for discretized neural networks
C Louizos, M Reisser, T Blankevoort, E Gavves, M Welling
arXiv preprint arXiv:1810.01875, 2018
2032018
Federated mixture of experts
M Reisser, C Louizos, E Gavves, M Welling
arXiv preprint arXiv:2107.06724, 2021
132021
An expectation-maximization perspective on federated learning
C Louizos, M Reisser, J Soriaga, M Welling
arXiv preprint arXiv:2111.10192, 2021
92021
Dp-rec: Private & communication-efficient federated learning
A Triastcyn, M Reisser, C Louizos
arXiv preprint arXiv:2111.05454, 2021
92021
Hyperparameter optimization through neural network partitioning
B Mlodozeniec, M Reisser, C Louizos
arXiv preprint arXiv:2304.14766, 2023
62023
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
52022
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
42022
Variance propagation for quantization
M Reisser, M Welling, E Gavves, C Louizos
US Patent App. 16/417,430, 2019
42019
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
32021
Federated mixture models
M Reisser, M Welling, E Gavves, C Louizos
US Patent App. 17/756,957, 2023
22023
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
12023
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
12020
Federated Averaging as Expectation Maximization
C Louizos, M Reisser, J Soriaga, M Welling
12020
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
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