Felix Sattler
Felix Sattler
Bestätigte E-Mail-Adresse bei hhi.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
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, 2019
1092019
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
462019
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, 2020
172020
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, ...
arXiv preprint arXiv:2004.11841, 2020
52020
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
12020
Trends and advancements in deep neural network communication
F Sattler, T Wiegand, W Samek
arXiv preprint arXiv:2003.03320, 2020
12020
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
2020
Clustered Federated Learning
F Sattler, KR Müller, W Samek
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