Low-Rate Universal Vector Quantization for Federated Learning

Author:

Lyu Guan-Huei1,Saputra Bagus Aris2,Rini Stefano3,Sun Chung-Hsuan1,Lin Shih-Chun1

Affiliation:

1. National Taiwan University (NTU),Taiwan

2. National Taiwan University of Science and Technology (NTUST),Taiwan

3. National Yang-Ming Chiao-Tung University (NYCU),Taiwan

Publisher

IEEE

Reference23 articles.

1. Communication-Efficient Learning of Deep Networks from Decentralized Data;McMahan

2. Information Theory, Mathematical Optimization, and Their Crossroads in 6G System Design

3. The Convergence of Sparsified Gradient Methods;Alistarh;Advances in Neural Information Processing Systems,2018

4. Sparsified SGD with memory;Stich;Advances in Neural Information Processing Systems,2018

5. QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding;Alistarh;Advances in neural information processing systems,2017

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