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ORCIDDistributedML@CoNEXT 2021: Virtual Event / Munich, Germany
- DistributedML '21: Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning, Virtual Event / Munich, Germany, 7 December 2021. ACM 2021, ISBN 978-1-4503-9134-4
- Konstantin Burlachenko, Samuel Horváth
, Peter Richtárik:
FL_PyTorch: optimization research simulator for federated learning. 1-7 - Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane:
Secure aggregation for federated learning in flower. 8-14 - Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella:
Doing more by doing less: how structured partial backpropagation improves deep learning clusters. 15-21 - Oliver Thompson, Anna Maria Mandalari, Hamed Haddadi:
Rapid IoT device identification at the edge. 22-28 - Hadjer Benkraouda, Klara Nahrstedt:
Image reconstruction attacks on distributed machine learning models. 29-35
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last updated on 2024-10-31 20:22 CET by the dblp team
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