research
∙
08/17/2022
Interference Cancellation GAN Framework for Dynamic Channels
Symbol detection is a fundamental and challenging problem in modern comm...
share
research
∙
03/23/2022
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing
Federated learning is a prime candidate for distributed machine learning...
research
∙
12/21/2021
Adversarial Neural Networks for Error Correcting Codes
Error correcting codes are a fundamental component in modern day communi...
research
∙
12/21/2021
On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge
Edge computing has revolutionized the world of mobile and wireless netwo...
research
∙
10/07/2020
Anomaly Detection in Large Labeled Multi-Graph Databases
Within a large database G containing graphs with labeled nodes and direc...
research
∙
07/26/2020
Fast-Convergent Federated Learning
Federated learning has emerged recently as a promising solution for dist...
research
∙
09/13/2018