research
∙
07/21/2023
XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge
Streaming Linear Discriminant Analysis (LDA) while proven in Class-incre...
share
research
∙
08/12/2021
Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates
Federated Learning (FL) solves many of this decade's concerns regarding ...
research
∙
07/18/2021
Distributed Planning for Serving Cooperative Tasks with Time Windows: A Game Theoretic Approach
We study distributed planning for multi-robot systems to provide optimal...
research
∙
06/28/2021
Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data
Federated Learning allows training of data stored in distributed devices...
research
∙
08/15/2019
Distributed Path Planning for Executing Cooperative Tasks with Time Windows
We investigate the distributed planning of robot trajectories for optima...
research
∙
05/22/2019