research
∙
06/20/2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
Collaborative multi-agent reinforcement learning (MARL) has been widely ...
share
research
∙
03/23/2022
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching
In federated learning (FL), clients may have diverse objectives, merging...
research
∙
11/22/2021
CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images
The task of instance segmentation in remote sensing images, aiming at pe...
research
∙
10/26/2021
Ensemble Federated Adversarial Training with Non-IID data
Despite federated learning endows distributed clients with a cooperative...
research
∙
02/06/2020