Peter Richtárik

🇸🇦Professor, KAUST

Optimization Federated Learning Distributed ML Randomized Algorithms

Professor at KAUST. One of the world's top researchers in optimization for machine learning and federated learning. Known for foundational work on stochastic gradient descent variants and privacy-preserving distributed training.

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