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Felix Sattler
Felix Sattler
Verified email at hhi.fraunhofer.de
Title
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Cited by
Year
Robust and communication-efficient federated learning from non-iid data
F Sattler, S Wiedemann, KR Müller, W Samek
IEEE transactions on neural networks and learning systems 31 (9), 3400-3413, 2019
5382019
Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints
F Sattler, KR Müller, W Samek
IEEE transactions on neural networks and learning systems 32 (8), 3710-3722, 2020
2072020
Sparse binary compression: Towards distributed deep learning with minimal communication
F Sattler, S Wiedemann, KR Müller, W Samek
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
1062019
On the byzantine robustness of clustered federated learning
F Sattler, KR Müller, T Wiegand, W Samek
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
372020
Risk estimation of SARS-CoV-2 transmission from bluetooth low energy measurements
F Sattler, J Ma, P Wagner, D Neumann, M Wenzel, R Schäfer, W Samek, ...
NPJ digital medicine 3 (1), 1-4, 2020
262020
Communication-efficient federated distillation
F Sattler, A Marban, R Rischke, W Samek
arXiv preprint arXiv:2012.00632, 2020
122020
Fedaux: Leveraging unlabeled auxiliary data in federated learning
F Sattler, T Korjakow, R Rischke, W Samek
IEEE Transactions on Neural Networks and Learning Systems, 2021
92021
Trends and advancements in deep neural network communication
F Sattler, T Wiegand, W Samek
arXiv preprint arXiv:2003.03320, 2020
82020
Deepcabac: Plug & play compression of neural network weights and weight updates
D Neumann, F Sattler, H Kirchhoffer, S Wiedemann, K Müller, H Schwarz, ...
2020 IEEE International Conference on Image Processing (ICIP), 21-25, 2020
52020
CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding
F Sattler, A Marban, R Rischke, W Samek
IEEE Transactions on Network Science and Engineering, 2021
42021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
L Witt, U Zafar, KY Shen, F Sattler, D Li, W Samek
arXiv preprint arXiv:2106.14265, 2021
22021
Clustered Federated Learning
F Sattler, KR Müller, W Samek
Proceedings of the NeurIPS’19 Workshop on Federated Learning for Data …, 2019
22019
Black Box Optimization using Recurrent Neural Networks
P Chormai, F Sattler, R Holca-Lammare
12017
Concepts for federated learning, client classification and training data similarity measurement
W Samek, F Sattler, T Wiegand, KR Müller
US Patent App. 17/526,739, 2022
2022
Concepts for distributed learning of neural networks and/or transmission of parameterization updates therefor
W Samek, S Wiedemann, F Sattler, KR Müller, T Wiegand
US Patent App. 17/096,887, 2021
2021
Concepts for Efficient, Adaptive and Robust Deep Learning from Distributed Data/Konzepte Für Effizientes, Adaptives und Robustes Trainieren von Tiefen Neuronalen Netzen auf …
F Sattler
Technische Universitaet Berlin (Germany), 2021
2021
Concepts for efficient, adaptive and robust deep learning from distributed data
F Sattler
2021
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