Kaiyu Huang

Research on attention memory networks as a model for learning natural language inference

2016

Natural Language Inference (NLI) is a fundamentally important task in natural language processing that has many applications. It is concerned with classifying the logical relation between two sentences. In this paper, we propose attention memory …

HeteFed: Heterogeneous Federated Learning with Privacy-Preserving Binary Low-Rank Matrix Decomposition Method

2023

Federated learning is a machine learning paradigm where many clients collaboratively train a machine learning model while ensuring the nondisclosure of local data sets. Existing federated learning methods conduct optimization over the same model structure, …