research
∙
05/24/2023
WeiAvg: Federated Learning Model Aggregation Promoting Data Diversity
Federated learning provides a promising privacy-preserving way for utili...
share
research
∙
06/16/2022
PRANC: Pseudo RAndom Networks for Compacting deep models
Communication becomes a bottleneck in various distributed Machine Learni...
research
∙
03/12/2022
Sparsity and Heterogeneous Dropout for Continual Learning in the Null Space of Neural Activations
Continual/lifelong learning from a non-stationary input data stream is a...
research
∙
02/08/2022
Teaching Networks to Solve Optimization Problems
Leveraging machine learning to optimize the optimization process is an e...
research
∙
11/20/2021
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior
Over the past few decades, numerous attempts have been made to address t...
research
∙
11/04/2021
Nyx-Net: Network Fuzzing with Incremental Snapshots
Coverage-guided fuzz testing ("fuzzing") has become mainstream and we ha...
research
∙
06/16/2021
Loki: Hardening Code Obfuscation Against Automated Attacks
Software obfuscation is a crucial technology to protect intellectual pro...
research
∙
07/05/2020
