About Kai Yi Kai Yi Ph.D. Student, Computer, Electrical and Mathematical Sciences and Engineering machine learning optimization Computer Vision Ph.D. candidate working on machine learning optimization, LLMs and federated learning. Events Presented Events Apr 13 - Apr 19, 2025 Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Kai Yi, Ph.D. Student, Computer, Electrical and Mathematical Sciences and Engineering Apr 14, 18:00 - 20:00 B5 L5 R5209 This dissertation advances communication-efficient distributed and federated learning through novel algorithms for model compression, local training optimization, and personalization, validated by theoretical analysis and empirical results.
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Kai Yi, Ph.D. Student, Computer, Electrical and Mathematical Sciences and Engineering Apr 14, 18:00 - 20:00 B5 L5 R5209 This dissertation advances communication-efficient distributed and federated learning through novel algorithms for model compression, local training optimization, and personalization, validated by theoretical analysis and empirical results.
Engage ORCID LinkedIn ShareClipboard Related Sites Center of Excellence for Generative AI (GenAI) Computer Vision- Core Artificial Intelligence Research (Vision-CAIR) Optimization and Machine Learning (OML) Computer Science (CS) Related Content Events 1 Related Links Publications at Google Scholar Kai Yi's personal Webpage
