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User Centered and Privacy-Driven Process Mining System Design - (Extended Abstract).

, , , , and . Inform. Spektrum, 42 (5): 347-348 (2019)

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Towards Taming the Resource and Data Heterogeneity in Federated Learning., , , , , , , and . OpML, page 19-21. USENIX Association, (2019)Conference Tutorial: Can federated learning solve our data privacy problems? State of the art and open challenges.. TPS-ISA, page xxv. IEEE, (2021)TIFF: Tokenized Incentive for Federated Learning., , , , , , , and . CLOUD, page 407-416. IEEE, (2022)Single-shot General Hyper-parameter Optimization for Federated Learning., , , , , and . ICLR, OpenReview.net, (2023)Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios., , , , , and . IOT, page 19:1-19:8. ACM, (2019)Privacy-Preserving Process Mining - Differential Privacy for Event Logs., , , , and . Bus. Inf. Syst. Eng., 61 (5): 595-614 (2019)Mitigating Bias in Federated Learning., , , , , and . CoRR, (2020)A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems., , , , , , and . CoRR, (2022)Federated Unlearning: How to Efficiently Erase a Client in FL?, , , and . CoRR, (2022)Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks., , , , and . CoRR, (2023)