4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Byzantine-Robust Federated Learning via Credibility Assessment on Non-IID Data
Kun Zhai, Qiang Ren, Junli Wang +1
Federated learning is a novel framework that enables resource-constrained edge devices to jointly learn a model, which solves the problem of data protection and data islands. Howev…
cs.LG2019★ 4 cited
Adaptive Routing Between Capsules
Qiang Ren, Shaohua Shang, Lianghua He
Capsule network is the most recent exciting advancement in the deep learning field and represents positional information by stacking features into vectors. The dynamic routing algo…
cs.CV2019★ 2 cited
Grouping Capsules Based Different Types
Qiang Ren
Capsule network was introduced as a new architecture of neural networks, it encoding features as capsules to overcome the lacking of equivariant in the convolutional neural network…