Physics-Informed Explainable Continual Learning on Graphs
- Ciyuan Peng
- Tao Tang
- et al.
- 2024
- IEEE TNNLS
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21 results at IEEE TNNLS
Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning
- Chong Yu
- Shuaiqi Shen
- et al.
- 2024
- IEEE TNNLS
Real-Time Decoding of Snapshot Compressive Imaging Using Tensor FISTA-Net
- Xiao-Yang Liu
- Qifan Huang
- et al.
- 2023
- IEEE TNNLS
Flexible Vertical Federated Learning With Heterogeneous Parties
- Timothy Castiglia
- Shiqiang Wang
- et al.
- 2023
- IEEE TNNLS
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
- Aida Todri-Sanial
- Stefania Carapezzi
- et al.
- 2022
- IEEE TNNLS
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs
- Tianyun Zhang
- Shaokai Ye
- et al.
- 2022
- IEEE TNNLS
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
- Denis Kleyko
- Kumudu Geethan Karunaratne
- et al.
- 2022
- IEEE TNNLS
Attributed Graph Force Learning
- Ke Sun
- Feng Xia
- et al.
- 2022
- IEEE TNNLS
Model Pruning Enables Efficient Federated Learning on Edge Devices
- Yuang Jiang
- Shiqiang Wang
- et al.
- 2021
- IEEE TNNLS
Online Spatio-Temporal Learning in Deep Neural Networks
- Thomas Bohnstingl
- Stanislaw Wozniak
- et al.
- 2021
- IEEE TNNLS