activity
20072026
most citedIncentivizing Energy Trading for Interconnected Microgrids

471 citations · 2.2k across the 114 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.GT2020★ 1 cited

Selfish Caching Games on Directed Graphs

Qian Ma, Edmund Yeh, Jianwei Huang

Caching networks can reduce the routing costs of accessing contents by caching contents closer to users. However, cache nodes may belong to different entities and behave selfishly…

cs.GT2020★ 2 cited

Incentive Mechanism Design for Distributed Coded Machine Learning

Ningning Ding, Zhixuan Fang, Lingjie Duan +1

A distributed machine learning platform needs to recruit many heterogeneous worker nodes to finish computation simultaneously. As a result, the overall performance may be degraded…

cs.LG2020★ 3 cited

Cost-Effective Federated Learning Design

Bing Luo, Xiang Li, Shiqiang Wang +2

Federated learning (FL) is a distributed learning paradigm that enables a large number of devices to collaboratively learn a model without sharing their raw data. Despite its pract…

cs.GT2020

Economics of Mobile Data Trading Market

Junlin Yu, Man Hon Cheung, Jianwei Huang

To exploit users' heterogeneous data demands, several mobile network operators worldwide have launched the mobile data trading markets, where users can trade mobile data quota with…

eess.SY2020

Contract-based Time-of-use Pricing for Energy Storage Investment

Dongwei Zhao, Hao Wang, Jianwei Huang +1

Time-of-use (ToU) pricing is widely used by the electricity utility. A carefully designed ToU pricing can incentivize end-users' energy storage deployment, which helps shave the sy…

cs.NI2020

Pricing Fresh Data

Meng Zhang, Ahmed Arafa, Jianwei Huang +1

We introduce the concept of {\it fresh data trading}, in which a destination user requests, and pays for, fresh data updates from a source provider, and data freshness is captured…