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Optimization and Machine Learning
OML
Optimization and Machine Learning
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Event Content - (B)

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Jun 27, 18:00 - 20:00, Better Methods and Theory for Federated Learning: Compression, Client Selection, and Heterogeneity (B5 L5 R5209), Samuel Horváth, Ph.D. Student, Statistics
Federated learning, Optimization for Machine Learning, Ph.D. Dissertation Defense
Oct 27, 12:00 - 13:00, BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training (B9 L2 R2325), Laurent Condat, Senior Research Scientist, Computer Science
Distributed algorithms, Graduate Seminar, optimization, Signal and Image Processing

Optimization and Machine Learning (OML)

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