2 citations · 3 across the 4 of their papers we have counts for
4 papers
Balance of Number of Embedding and their Dimensions in Vector Quantization
Hang Chen, Sankepally Sainath Reddy, Ziwei Chen +1
The dimensionality of the embedding and the number of available embeddings ( also called codebook size) are critical factors influencing the performance of Vector Quantization(VQ),…
Discrete Messages Improve Communication Efficiency among Isolated Intelligent Agents
Hang Chen, Yuchuan Jang, Weijie Zhou +3
Individuals, despite having varied life experiences and learning processes, can communicate effectively through languages. This study aims to explore the efficiency of language as…
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
Tianyi Zhang, Shirui Zhang, Ziwei Chen +1
Federated machine learning is a versatile and flexible tool to utilize distributed data from different sources, especially when communication technology develops rapidly and an unp…
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records
Jianfei Cui, He Zhu, Hao Deng +2
Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many instituti…