Ermin Wei

Orcid: 0000-0002-8035-484X

According to our database1, Ermin Wei authored at least 70 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Attrition-Aware Adaptation for Multi-Agent Patrolling.
IEEE Robotics Autom. Lett., August, 2024

Age-Dependent Differential Privacy.
IEEE Trans. Inf. Theory, February, 2024

DISH: A Distributed Hybrid Optimization Method Leveraging System Heterogeneity.
IEEE Trans. Signal Process., 2024

Optimal EV Charging Decisions Considering Charging Rate Characteristics and Congestion Effects.
IEEE Trans. Netw. Sci. Eng., 2024

Collaborative Multi-Agent Video Fast-Forwarding.
IEEE Trans. Multim., 2024

Debiasing Federated Learning with Correlated Client Participation.
CoRR, 2024

Exact Label Recovery in Euclidean Random Graphs.
CoRR, 2024

On the Effect of Bounded Rationality in Electricity Markets.
CoRR, 2024

Efficient Online Unlearning via Hessian-Free Recollection of Individual Data Statistics.
CoRR, 2024

A Stochastic Quasi-Newton Method for Non-convex Optimization with Non-uniform Smoothness.
CoRR, 2024

Exact Community Recovery in the Geometric SBM.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Strategic Data Revocation in Federated Unlearning.
Proceedings of the IEEE INFOCOM 2024, 2024

Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
S-NEAR-DGD: A Flexible Distributed Stochastic Gradient Method for Inexact Communication.
IEEE Trans. Autom. Control., February, 2023

FedHybrid: A Hybrid Federated Optimization Method for Heterogeneous Clients.
IEEE Trans. Signal Process., 2023

A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF.
Oper. Res., 2023

Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition.
Oper. Res., 2023

Supply Function Equilibrium in Networked Electricity Markets.
CoRR, 2023

Incentive Mechanism Design for Federated Learning and Unlearning.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

PrimeTime: A Finite-Time Consensus Protocol for Open Networks.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

The Effects of Varying Charging Rates on Optimal Charging Station Choices for Electric Vehicles.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
FlexPD: A Flexible Framework of First-Order Primal-Dual Algorithms for Distributed Optimization.
IEEE Trans. Signal Process., 2021

On the Convergence of Nested Decentralized Gradient Methods With Multiple Consensus and Gradient Steps.
IEEE Trans. Signal Process., 2021

A General Sensitivity Analysis Approach for Demand Response Optimizations.
IEEE Trans. Netw. Sci. Eng., 2021

Faithful Edge Federated Learning: Scalability and Privacy.
IEEE J. Sel. Areas Commun., 2021

Optimal and Quantized Mechanism Design for Fresh Data Acquisition.
IEEE J. Sel. Areas Commun., 2021

Optimal Mechanism Design for Fresh Data Acquisition.
Proceedings of the IEEE International Symposium on Information Theory, 2021

On the Convergence of NEAR-DGD for Nonconvex Optimization with Second Order Guarantees.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Investment in EV Charging Spots for Parking.
IEEE Trans. Netw. Sci. Eng., 2020

A Fast Distributed Asynchronous Newton-Based Optimization Algorithm.
IEEE Trans. Autom. Control., 2020

Monetizing Mobile Data via Data Rewards.
IEEE J. Sel. Areas Commun., 2020

A Two-Stage Decomposition Approach for AC Optimal Power Flow.
CoRR, 2020

Learning to price vehicle service with unknown demand.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

Distributed Multi-agent Video Fast-forwarding.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Balancing Communication and Computation in Distributed Optimization.
IEEE Trans. Autom. Control., 2019

Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances.
Proc. ACM Meas. Anal. Comput. Syst., 2019

A Business Model Analysis of Mobile Data Rewards.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

A General Framework of Exact Primal-Dual First-Order Algorithms for Distributed Optimization ∗.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Nested Distributed Gradient Methods with Adaptive Quantized Communication.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Nested Distributed Gradient Methods with Stochastic Computation Errors.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Renewable generation investment with differentiated downstream competition.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Large-Scale Spectrum Allocation for Cellular Networks via Sparse Optimization.
IEEE Trans. Signal Process., 2018

Watch Ads, Earn Data: Economics of Mobile Data Rewards.
Proceedings of the 13th Workshop on Economics of Networks, Systems and Computation, 2018

Dynamic Price Discrimination in Demand Response Market: A Bilevel Game Theoretical Model.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Price and Capacity Competition for EV parking with Government Mandates.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017
Scalable Spectrum Allocation and User Association in Networks With Many Small Cells.
IEEE Trans. Commun., 2017

Competition and investment in on-demand networking technology.
Proceedings of the 13th Annual Conference on Wireless On-demand Network Systems and Services, 2017

Scalable spectrum allocation for large networks based on sparse optimization.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Improving social welfare by demand response general framework and quantitative characterization.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Superlinearly convergent asynchronous distributed network newton method.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Parallel multi-splitting proximal method for star networks.
Proceedings of the 2017 American Control Conference, 2017

2016
Supply function equilibrium in power markets: Mesh networks.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Robust supply function bidding in electricity markets with renewables.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Fairness considerations in network flow problems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Efficiency of supply function equilibrium in networked markets.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Investment and competition with positive externalities in open networks.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Efficiency of linear supply function bidding in electricity markets.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Distributed optimization and market analysis of networked systems.
PhD thesis, 2014

A Comprehensive Risk Management System on Building Energy Retrofit.
Proceedings of the 2014 Annual SRII Global Conference, 2014

Competitive equilibrium in electricity markets with heterogeneous users and price fluctuation penalty.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
A Distributed Newton Method for Network Utility Maximization - Part II: Convergence.
IEEE Trans. Autom. Control., 2013

A Distributed Newton Method for Network Utility Maximization-I: Algorithm.
IEEE Trans. Autom. Control., 2013

On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
A distributed newton method for dynamic Network Utility Maximization with delivery contracts.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

Distributed Alternating Direction Method of Multipliers.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
On dual convergence of the distributed Newton method for Network Utility Maximization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
A distributed Newton method for Network Utility Maximization.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010


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