In this paper, we focus on a rarely used paradigm in the design of
under...
Shuttle buses have been a popular means to move commuters sharing simila...
Social media enables users to publish, disseminate, and access informati...
Deep Reinforcement Learning (RL) has shown great success in learning com...
Since there are multiple parties in collaborative learning, malicious pa...
prevention of stroke with its associated risk factors has been one of th...
Federated learning systems are vulnerable to attacks from malicious clie...
Federated learning is a new machine learning framework which enables
dif...
Visual object detection is a computer vision-based artificial intelligen...
One critical challenge for applying today's Artificial Intelligence (AI)...
Data privacy and security becomes a major concern in building machine
le...
In federated learning systems, clients are autonomous in that their beha...
Reinforcement learning (RL) is widely used in autonomous driving tasks a...
Electroencephalography (EEG) classification techniques have been widely
...
Grasp synergies represent a useful idea to reduce grasping complexity wi...
Today's AI still faces two major challenges. One is that in most industr...
The protection of user privacy is an important concern in machine learni...
Machine learning relies on the availability of a vast amount of data for...
Grasping unknown objects has been an active research topic for decades.
...
Hand synergies, or joint coordination patterns, have become an effective...