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Geronimo Bergk
Geronimo Bergk
Research Associate, Fraunhofer HHI
Verified email at hhi.fraunhofer.de
Title
Cited by
Cited by
Year
Deep convolutional neural network for network-wide QoT estimation
P Safari, B Shariati, G Bergk, JK Fischer
Optical Fiber Communication Conference, Th4J. 3, 2021
192021
ML-assisted QoT estimation: a dataset collection and data visualization for dataset quality evaluation
G Bergk, B Shariati, P Safari, JK Fischer
Journal of Optical Communications and Networking 14 (3), 43-55, 2022
172022
QoT dataset collection
G Bergk, B Shariati, P Safari, JK Fischer
online–accessed Mar, 2022
92022
Inter-operator machine learning model trading over Acumos AI federated marketplace
B Shariati, P Safari, G Bergk, FI Oertel, JK Fischer
2021 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2021
82021
Secure multi-party computation and statistics sharing for ML model training in multi-domain multi-vendor networks
P Safari, B Shariati, G Bergk, JK Fischer
2021 European Conference on Optical Communication (ECOC), 1-4, 2021
42021
Interactive Visual Analytics Dashboard for the Paradigm of ML-assisted Autonomous Optical Networking
B Shariati, W Baltzer, G Bergk, P Safari, JK Fischer
2022 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2022
12022
Traffic Monitoring and Analytics Framework for Optical Access Networks
B Shariati, G Bergk, P Safari, M Balanici, J Fischer, R Freund
2022 13th International Symposium on Communication Systems, Networks and …, 2022
2022
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