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05/18/2023
TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism
In modern distributed computing applications, such as federated learning...
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03/17/2023
Bioinspired Soft Spiral Robots for Versatile Grasping and Manipulation
Across various species and different scales, certain organisms use their...
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04/07/2022
FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity
Federated Learning (FL) is an emerging framework for distributed process...
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03/15/2022
Dynamical Modeling and Control of Soft Robots with Non-constant Curvature Deformation
The Piecewise Constant Curvature (PCC) model is the most widely used sof...
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01/05/2022
Control of a Soft Robotic Arm Using a Piecewise Universal Joint Model
The 'infinite' passive degrees of freedom of soft robotic arms render th...
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12/05/2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms
A wide range of optimization problems arising in machine learning can be...
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09/13/2021
Unified Kinematic and Dynamical Modeling of a Soft Robotic Arm by a Piecewise Universal Joint Model
The compliance of soft robotic arms renders the development of accurate ...
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10/09/2018
A software-defined architecture for control of IoT Cyberphysical Systems
Based on software-defined principles, we propose a holistic architecture...
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04/22/2018
Sparse Travel Time Estimation from Streaming Data
We address two shortcomings in online travel time estimation methods for...
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03/22/2018
SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization
We propose and analyze a new stochastic gradient method, which we call S...
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12/17/2013