Yatao Bian is a machine learning researcher with nine years of experience bridging academic rigor and applied AI, holding a doctoral focus in machine learning from ETH Zürich. He has deep hands-on expertise in Python, PyTorch, and TensorFlow and a track record of building federated learning systems—having designed FedAvg-style algorithms and a low-level TensorFlow simulation for decentralized LSTM training during a Google research internship. His background in computer vision and pattern recognition from Shanghai Jiao Tong University complements his work on distribution drift and mobile-network simulation for realistic decentralized datasets. Based in Zurich with international roots in Singapore and China, he combines theoretical research chops with practical system-building, often working at the intersection of privacy-preserving learning and scalable training infrastructure.
Contributions:3 pushes, 1 branch in 1 year 9 months
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Yatao Bian - Machine Learning Researcher at ETH Zurich