research
∙
06/21/2022
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity
Federated Learning (FL) enables training a global model without sharing ...
share
research
∙
06/22/2021
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN
The recurrent network architecture is a widely used model in sequence mo...
research
∙
11/20/2020
Cascade Attentive Dropout for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) aims to classify and locate ob...
research
∙
04/08/2019
