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

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(4) | A (56) | B (8) | C (5) | D (4) | E (6) | F (8) | G (6) | H (15) | I (5) | J (5) | K (14) | L (7) | M (34) | N (3) | O (4) | P (3) | R (9) | S (25) | T (6) | U (1) | V (1) | W (2) | X (7) | Y (12) | Z (9)
Babar Khan, Ph.D. (former), Bioscience
biotechnology, healthcare
Bayan Al Nahhas, Visiting Scholar, King Abdullah University of Science and Technology
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
Biswarup Mukherjee, Postdoctoral Research Fellow (former), Electrical and Computer Engineering
Boou Jiang, Postdoctoral Research Fellow, Applied Mathematics and Computational Science
Bozhang Dong, Assistant Professor, Lava University
optical frequency combs, quantum-dot lasers
kaust-cemse-ece-ccsl-bumin-kagan-yildirim
Bumin Kagan Yildirim, Ph.D. Student, Electrical and Computer Engineering
artificial intelligence for wireless communication, distributed multimodal ISAC, ISAC, Semantic Communication

Optimization and Machine Learning (OML)

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