Termine:

• 08.04.2022 bis 15.07.2022
• Nicht an Karfreitag  (15.04.)

Ort/ Zeit:

• freitags 14:30 – 16:00 Uhr, online

Dozent:

• Milica Gasic (gasic(at)hhu.de)

Studiengang:

• Master-Studiengang Informatik (PO 2015)
• Master-Studiengang Artificial Intelligence and Data Science (PO 2019, PO 2021)

Leistungspunkte:

• 5 LP (2 SWS)

Sprache:

• Englisch

Zeitplan:

• 08.04.2022:  Advances and Open Problems in Federated Learning (Dr. Blaise Thomson, Bitfount) https://arxiv.org/pdf/1912.04977.pdf
• 22.04.2022: Deep Learning with Differential Privacy https://arxiv.org/pdf/1607.00133.pdf
• 29.04.2022: Privacy-Preserving Deep Learning http://www.cs.cornell.edu/~shmat/shmat_ccs15.pdf
• 06.05.2022: Communication-Efficient Learning of Deep Networks from Decentralized Data http://proceedings.mlr.press/v54/mcmahan17a/mcmahan17a.pdf
• 13.05.2022: Practical Secure Aggregation for Privacy-Preserving Machine Learning https://dl.acm.org/doi/pdf/10.1145/3133956.3133982
• 20.05.2022: Prio: Private, Robust, and Scalable Computation of Aggregate Statistics https://www.usenix.org/system/files/conference/nsdi17/nsdi17-corrigan-gibbs.pdf
• 27.05.2022: Federated Learning: Strategies for Improving Communication Efficiency https://arxiv.org/pdf/1610.05492.pdf
• 03.06.2022: Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity https://arxiv.org/pdf/1811.12469.pdf
• 10.06.2022: Privacy and Dialogue Systems (Dr. Birgit Popp, Fraunhofer IIS)
• 17.06.2022: Federated Learning for Mobile Keyboard Prediction https://arxiv.org/pdf/1811.03604.pdf
• 24.06.2022: Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training https://papers.nips.cc/paper/2021/file/ceb0595112db2513b9325a85761b7310-Paper.pdf
• 01.07.2022: Improving on-device speaker verification using federated learning with privacy https://arxiv.org/pdf/2008.02651.pdf
• 15.07.2022: Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data https://aclanthology.org/2021.acl-long.322/