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Found 6 papers, 1 papers with code
FedGraph: an Aggregation Method from Graph Perspective
The FedGraph takes three factors into account from coarse to fine: the proportion of each local dataset size, the topology factor of model graphs, and the model weights.
Syntactic-GCN Bert based Chinese Event Extraction
The proposed approach is a multiple channel input neural framework that integrates semantic features and syntactic features.
Forecasting Crude Oil Price Using Event Extraction
Research on crude oil price forecasting has attracted tremendous attention from scholars and policymakers due to its significant effect on the global economy.
An overview of event extraction and its applications
This study provides a comprehensive overview of the state-of-the-art event extraction methods and their applications from text, including closed-domain and open-domain event extraction.
MISSFormer: An Effective Medical Image Segmentation Transformer
The CNN-based methods have achieved impressive results in medical image segmentation, but it failed to capture the long-range dependencies due to the inherent locality of convolution operation.
Ranked #9 on
Medical Image Segmentation
on Synapse multi-organ CT
(using extra training data)
Low-latency Federated Learning and Blockchain for Edge Association in Digital Twin empowered 6G Networks
In this paper, we introduce the Digital Twin Wireless Networks (DTWN) by incorporating digital twins into wireless networks, to migrate real-time data processing and computation to the edge plane.
