Syllabus
| 第1R講 | 分散式學習的最佳化和通訊演算法 〡Internet-of-Things(IOT)Applications |
Learning from Decentralized Datasets- Optimization and Communication Aspects Centralized Architecture Distributed Architecture Mobile Application Medical Applications Internet-of-Things (IoT) Applications Basic (Supervised) Learning Task Distributed Implementation of GD | |
| 第2R講 | 分散式學習的最佳化和通訊演算法 〡Example:Federated Multi-task Learning |
Alternating Direction Method of Multipliers Core Challenges Example I: Federated Multi-task Learning Example II: Multi-View Clustering Go to Examples Go to Examples Example I: Federated Multi-task Learning | |
| 第3R講 | 分散式學習的最佳化和通訊演算法〡Example II :Multi-View Clustering |
| Example II: Multi-View Clustering Data Collection Local Subspace Clustering Center Broadcast | |
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