Ermin Wei | DeepAI

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∙ 08/24/2023

Incentive Mechanism Design for Federated Learning and Unlearning

To protect users' right to be forgotten in federated learning, federated...

0 Ningning Ding, et al. ∙

∙ 08/22/2023

Supply Function Equilibrium in Networked Electricity Markets

We study deregulated power markets with strategic power suppliers. In de...

0 YuanzhangXiao, et al. ∙

∙ 08/11/2023

Optimal EV Charging Decisions Considering Charging Rate Characteristics and Congestion Effects

With the rapid growth in the demand for plug-in electric vehicles (EVs),...

0 Lihui Yi, et al. ∙

∙ 07/20/2023

Exact Community Recovery in the Geometric SBM

We study the problem of exact community recovery in the Geometric Stocha...

0 Julia Gaudio, et al. ∙

∙ 06/06/2023

Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters

Generalization performance is a key metric in evaluating machine learnin...

0 Zhenyu Sun, et al. ∙

∙ 05/27/2023

Collaborative Multi-Agent Video Fast-Forwarding

Multi-agent applications have recently gained significant popularity. In...

0 Shuyue Lan, et al. ∙

∙ 04/03/2023

Attrition-Aware Adaptation for Multi-Agent Patrolling

Multi-agent patrolling is a key problem in a variety of domains such as ...

0 Anthony Goeckner, et al. ∙

∙ 09/03/2022

Age-Dependent Differential Privacy

The proliferation of real-time applications has motivated extensive rese...

0 Meng Zhang, et al. ∙

∙ 06/02/2022

A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning

In this paper, we study a large-scale multi-agent minimax optimization p...

0 Zhenyu Sun, et al. ∙

∙ 06/30/2021

Faithful Edge Federated Learning: Scalability and Privacy

Federated learning enables machine learning algorithms to be trained ove...

0 Meng Zhang, et al. ∙

∙ 08/10/2020

Distributed Multi-agent Video Fast-forwarding

In many intelligent systems, a network of agents collaboratively perceiv...

5 Shuyue Lan, et al. ∙

∙ 07/07/2020

Learning to Price Vehicle Service with Unknown Demand

It can be profitable for vehicle service providers to set service prices...

0 Haoran Yu, et al. ∙

∙ 06/29/2020

Optimal and Quantized Mechanism Design for Fresh Data Acquisition

The proliferation of real-time applications has spurred much interest in...

0 Meng Zhang, et al. ∙

∙ 11/27/2019

Monetizing Mobile Data via Data Rewards

Most mobile network operators generate revenues by directly charging use...

0 Haoran Yu, et al. ∙

∙ 04/22/2019

Investment in EV charging spots for parking

As demand for electric vehicles (EVs) is expanding, meeting the need for...

0 Brendan Badia, et al. ∙

∙ 02/06/2019

Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances

Vehicle service providers can display commercial ads in their vehicles b...

0 Haoran Yu, et al. ∙

∙ 10/07/2018

A General Sensitivity Analysis Approach for Demand Response Optimizations

It is well-known that demand response can improve the system efficiency ...

0 Ding Xiang, et al. ∙

∙ 09/09/2018

Large-Scale Spectrum Allocation for Cellular Networks via Sparse Optimization

This paper studies joint spectrum allocation and user association in lar...

0 Binnan Zhuang, et al. ∙

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