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11/03/2020
Design Paradigms Based on Spring Agonists for Underactuated Robot Hands: Concepts and Application
In this paper, we focus on a rarely used paradigm in the design of under...
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09/05/2020
A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers' Travel Demands
Shuttle buses have been a popular means to move commuters sharing simila...
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09/05/2020
Friend Network as Gatekeeper: A Study of WeChat Users' Consumption of Friend-Curated Contents
Social media enables users to publish, disseminate, and access informati...
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08/11/2020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
Deep Reinforcement Learning (RL) has shown great success in learning com...
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07/07/2020
Backdoor attacks and defenses in feature-partitioned collaborative learning
Since there are multiple parties in collaborative learning, malicious pa...
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06/15/2020
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
prevention of stroke with its associated risk factors has been one of th...
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02/01/2020
Learning to Detect Malicious Clients for Robust Federated Learning
Federated learning systems are vulnerable to attacks from malicious clie...
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01/23/2020
RPN: A Residual Pooling Network for Efficient Federated Learning
Federated learning is a new machine learning framework which enables dif...
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01/17/2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Visual object detection is a computer vision-based artificial intelligen...
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12/24/2019
A Communication Efficient Vertical Federated Learning Framework
One critical challenge for applying today's Artificial Intelligence (AI)...
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12/01/2019
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
Data privacy and security becomes a major concern in building machine le...
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10/22/2019
Abnormal Client Behavior Detection in Federated Learning
In federated learning systems, clients are autonomous in that their beha...
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10/14/2019
Federated Transfer Reinforcement Learning for Autonomous Driving
Reinforcement learning (RL) is widely used in autonomous driving tasks a...
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09/11/2019
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography
Electroencephalography (EEG) classification techniques have been widely ...
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05/27/2019
Tendon-driven Underactuated Hand Design via Optimization of Mechanically Realizable Manifolds in Posture and Torque Spaces
Grasp synergies represent a useful idea to reduce grasping complexity wi...
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02/13/2019
Federated Machine Learning: Concept and Applications
Today's AI still faces two major challenges. One is that in most industr...
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01/25/2019
SecureBoost: A Lossless Federated Learning Framework
The protection of user privacy is an important concern in machine learni...
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12/08/2018
Secure Federated Transfer Learning
Machine learning relies on the availability of a vast amount of data for...
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03/26/2018
Grasping Unknown Objects with Proprioception Using a Series-Elastic-Actuated Gripper
Grasping unknown objects has been an active research topic for decades. ...
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03/26/2018
