207 citations · 1.5k across the 65 of their papers we have counts for
18 papers · 1 filter
Regulating Clients' Noise Adding in Federated Learning without Verification
Shu Hong, Lingjie Duan
In federated learning (FL), clients cooperatively train a global model without revealing their raw data but gradients or parameters, while the local information can still be disclo…
When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure
Hongbo Li, Lingjie Duan
In congestion games, users make myopic routing decisions to jam each other, and the social planner with the full information designs mechanisms on information or payment side to re…
Dynamic Pricing for Client Recruitment in Federated Learning
Xuehe Wang, Shensheng Zheng, Lingjie Duan
Though federated learning (FL) well preserves clients' data privacy, many clients are still reluctant to join FL given the communication cost and energy consumption in their mobile…
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…
Distributed Double Auctions for Large-Scale Device-to-Device Resource Trading
Shuqin Gao, Costas Courcoubetis, Lingjie Duan
Mobile users in future wireless networks face limited wireless resources such as data plan, computation capacity and energy storage. Given that some of these users may not be utili…
Strategic Learning Approach for Deploying UAV-provided Wireless Services
Xinping Xu, Lingjie Duan, Minming Li
Unmanned Aerial Vehicle (UAV) have emerged as a promising technique to rapidly provide wireless services to a group of mobile users simultaneously. The paper aims to address a chal…
Regulating Competition in Age of Information under Network Externalities
Shugang Hao, Lingjie Duan
Online content platforms are concerned about the freshness of their content updates to their end customers, and increasingly more platforms now invite and pay the crowd to sample r…
Learning Large Electrical Loads via Flexible Contracts with Commitment
Pan Lai, Lingjie Duan, Xiaojun Lin
Large electricity customers (e.g., large data centers) can exhibit huge and variable electricity demands, which poses significant challenges for the electricity suppliers to plan f…
Recommending Paths: Follow or Not Follow?
Yunpeng Li, Costas Courcoubetis, Lingjie Duan
Mobile social network applications constitute an important platform for traffic information sharing, helping users collect and share sensor information about the driving conditions…
Optimal pricing for peer-to-peer sharing with network externalities
Yunpeng Li, Costas Courcoubetis, Lingjie Duan +1
In this paper, we analyse how a peer-to-peer sharing platform should price its service (when imagined as an excludable public good) to maximize profit, when each user's participati…
Mobile Social Services with Network Externality: From Separate Pricing to Bundled Pricing
Xuehe Wang, Lingjie Duan, Junshan Zhang
Today, many wireless device providers choose to sell devices bundled with complementary mobile social services, which exhibit strong positive network externality. This paper aims t…
Optimal Pricing of User-Initiated Data-Plan Sharing in A Roaming Market
Feng Wang, Lingjie Duan, Jianwei Niu
A smartphone user's personal hotspot (pH) allows him to share cellular connection to another (e.g., a traveler) in the vicinity, but such sharing consumes the limited data quota in…
Data-Centric Mobile Crowdsensing
Changkun Jiang, Lin Gao, Lingjie Duan +1
Mobile crowdsensing (MCS) is a promising sensing paradigm that leverages the diverse embedded sensors in massive mobile devices. A key objective in MCS is to efficiently schedule m…
Scalable Mobile Crowdsensing via Peer-to-Peer Data Sharing
Changkun Jiang, Lin Gao, Lingjie Duan +1
Mobile crowdsensing (MCS) is a new paradigm of sensing by taking advantage of the rich embedded sensors of mobile user devices. However, the traditional server-client MCS architect…
Dynamic routing for social information sharing
Yunpeng Li, Costas Courcoubetis, Lingjie Duan
Today mobile users are intensively interconnected thanks to the emerging mobile social networks, where they share location-based information with each other when traveling on diffe…
Two-sided Matching Based Cooperative Spectrum Sharing
Lin Gao, Lingjie Duan, Jianwei Huang
Dynamic spectrum access (DSA) can effectively improve the spectrum efficiency and alleviate the spectrum scarcity, by allowing unlicensed secondary users (SUs) to access the licens…
Pricing for local and global WiFi markets
Lingjie Duan, Jianwei Huang, Biying Shou
This paper analyzes two pricing schemes commonly used in WiFi markets: the flat-rate and the usage-based pricing. The flat-rate pricing encourages the maximum usage, while the usag…
Motivating Smartphone Collaboration in Data Acquisition and Distributed Computing
Lingjie Duan, Takeshi Kubo, Kohei Sugiyama +3
This paper analyzes and compares different incentive mechanisms for a master to motivate the collaboration of smartphone users on both data acquisition and distributed computing ap…