activity
20162021
most citedThe Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning

59 citations · 64 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2021★ 59 cited

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning

Raed Kontar, Naichen Shi, Xubo Yue +12

The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the future, IoFT, the cloud will be substituted by the crowd where model training is br…

stat.AP2019★ 5 cited

An Alternative Data-Driven Prediction Approach Based on Real Option Theories

Abdullah AlShelahi, Jingxing Wang, Mingdi You +2

This paper presents a new prediction model for time series data by integrating a time-varying Geometric Brownian Motion model with a pricing mechanism used in financial engineering…

stat.AP2018

Integrative Density Forecast and Uncertainty Quantification of Wind Power Generation

Jingxing Wang, Abdullah Alshelahi, Mingdi You +2

The volatile nature of wind power generation creates challenges in achieving secure power grid operations. It is, therefore, necessary to make accurate wind power prediction and it…

econ.EM2017

A Note on the Multi-Agent Contracts in Continuous Time

Qi Luo, Romesh Saigal

Dynamic contracts with multiple agents is a classical decentralized decision-making problem with asymmetric information. In this paper, we extend the single-agent dynamic incentive…

cs.AI2016

An Evaluation of Information Sharing Parking Guidance Policies Using a Bayesian Approach

Xinyi Wu, Kartik Balkumar, Qi Luo +2

Real-time parking occupancy information is critical for a parking management system to facilitate drivers to park more efficiently. Recent advances in connected and automated vehic…

cs.RO2016

A Statistical Method for Parking Spaces Occupancy Detection via Automotive Radars

Qi Luo, Romesh Saigal, Robert Hampshire +1

Real-time parking occupancy information is valuable for guiding drivers' searching for parking spaces. Recently many parking detection systems using range-based on-vehicle sensors…