A distributed Newton method for Network Utility Maximization. - Ermin Wei; Asuman E. Ozdaglar; Ali Jadbabaie (CDC, 2010)

On dual convergence of the distributed Newton method for Network Utility Maximization. - Ermin Wei; Michael Zargham; Asuman E. Ozdaglar; Ali Jadbabaie (CDC/ECC, 2011)

Distributed Alternating Direction Method of Multipliers. - Ermin Wei; Asuman E. Ozdaglar (CDC, 2012)

A distributed newton method for dynamic Network Utility Maximization with delivery contracts. - Ermin Wei; Asuman E. Ozdaglar; Atilla Eryilmaz; Ali Jadbabaie (CISS, 2012)

On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers. - Ermin Wei; Asuman E. Ozdaglar (GlobalSIP, 2013)

A Distributed Newton Method for Network Utility Maximization-I: Algorithm. - Ermin Wei; Asuman E. Ozdaglar; Ali Jadbabaie (IEEE Trans. Autom. Control., 2013)

A Distributed Newton Method for Network Utility Maximization - Part II: Convergence. - Ermin Wei; Asuman E. Ozdaglar; Ali Jadbabaie (IEEE Trans. Autom. Control., 2013)

Competitive equilibrium in electricity markets with heterogeneous users and price fluctuation penalty. - Ermin Wei; Azarakhsh Malekian; Asuman E. Ozdaglar (CDC, 2014)

A Comprehensive Risk Management System on Building Energy Retrofit. - Ermin Wei; Saeed R. Bagheri; Sirisha Rangavajhala; Eric Shen (SRII Global Conference, 2014)

Distributed optimization and market analysis of networked systems. - Ermin Wei (2014)

Efficiency of linear supply function bidding in electricity markets. - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (ACSSC, 2015)

Investment and competition with positive externalities in open networks. - Chang Liu 032; Yuanzhang Xiao; Ermin Wei; Randall A. Berry (Allerton, 2015)

Efficiency of supply function equilibrium in networked markets. - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (Allerton, 2015)

Fairness considerations in network flow problems. - Ermin Wei; Chaithanya Bandi (CDC, 2015)

Robust supply function bidding in electricity markets with renewables. - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (Allerton, 2016)

Supply function equilibrium in power markets: Mesh networks. - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (GlobalSIP, 2016)

Parallel multi-splitting proximal method for star networks. - Ermin Wei (ACC, 2017)

Superlinearly convergent asynchronous distributed network newton method. - Fatemeh Mansoori; Ermin Wei (CDC, 2017)

Improving social welfare by demand response general framework and quantitative characterization. - Ding Xiang; Ermin Wei (GlobalSIP, 2017)

Scalable spectrum allocation for large networks based on sparse optimization. - Binnan Zhuang; Dongning Guo; Ermin Wei; Michael L. Honig (ISIT, 2017)

Competition and investment in on-demand networking technology. - Chang Liu 032; Yuanzhang Xiao; Ermin Wei; Randall A. Berry (WONS, 2017)

Scalable Spectrum Allocation and User Association in Networks With Many Small Cells. - Binnan Zhuang; Dongning Guo; Ermin Wei; Michael L. Honig (IEEE Trans. Commun., 2017)

Price and Capacity Competition for EV parking with Government Mandates. - Brendan Badia; Randall Berry; Ermin Wei (Allerton, 2018)

Dynamic Price Discrimination in Demand Response Market: A Bilevel Game Theoretical Model. - Ding Xiang; Ermin Wei (GlobalSIP, 2018)

Watch Ads, Earn Data: Economics of Mobile Data Rewards. - Haoran Yu 001; Ermin Wei; Randall Berry (NetEcon@SIGMETRICS, 2018)

Large-Scale Spectrum Allocation for Cellular Networks via Sparse Optimization. - Binnan Zhuang; Dongning Guo; Ermin Wei; Michael L. Honig (IEEE Trans. Signal Process., 2018)

Renewable generation investment with differentiated downstream competition. - Brendan Badia; Randall Berry; Ermin Wei (Allerton, 2019)

Nested Distributed Gradient Methods with Stochastic Computation Errors. - Charikleia Iakovidou; Ermin Wei (Allerton, 2019)

Nested Distributed Gradient Methods with Adaptive Quantized Communication. - Albert S. Berahas; Charikleia Iakovidou; Ermin Wei (CDC, 2019)

A General Framework of Exact Primal-Dual First-Order Algorithms for Distributed Optimization ∗. - Fatemeh Mansoori; Ermin Wei (CDC, 2019)

A Business Model Analysis of Mobile Data Rewards. - Haoran Yu 001; Ermin Wei; Randall A. Berry (INFOCOM, 2019)

Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances. - Haoran Yu 001; Ermin Wei; Randall A. Berry (Proc. ACM Meas. Anal. Comput. Syst., 2019)

Balancing Communication and Computation in Distributed Optimization. - Albert S. Berahas; Raghu Bollapragada; Nitish Shirish Keskar; Ermin Wei (IEEE Trans. Autom. Control., 2019)

Distributed Multi-agent Video Fast-forwarding. - Shuyue Lan; Zhilu Wang; Amit K. Roy-Chowdhury; Ermin Wei; Qi Zhu 002 (ACM Multimedia, 2020)

Learning to price vehicle service with unknown demand. - Haoran Yu 001; Ermin Wei; Randall A. Berry (MobiHoc, 2020)

A Two-Stage Decomposition Approach for AC Optimal Power Flow. - Shenyinying Tu; Andreas Wächter; Ermin Wei (CoRR, 2020)

Monetizing Mobile Data via Data Rewards. - Haoran Yu 001; Ermin Wei; Randall A. Berry (IEEE J. Sel. Areas Commun., 2020)

A Fast Distributed Asynchronous Newton-Based Optimization Algorithm. - Fatemeh Mansoori; Ermin Wei (IEEE Trans. Autom. Control., 2020)

Investment in EV Charging Spots for Parking. - Brendan Badia; Randall A. Berry; Ermin Wei (IEEE Trans. Netw. Sci. Eng., 2020)

On the Convergence of NEAR-DGD for Nonconvex Optimization with Second Order Guarantees. - Charikleia Iakovidou; Ermin Wei (CDC, 2021)

Optimal Mechanism Design for Fresh Data Acquisition. - Meng Zhang 013; Ahmed Arafa 001; Ermin Wei; Randall A. Berry (ISIT, 2021)

Optimal and Quantized Mechanism Design for Fresh Data Acquisition. - Meng Zhang 013; Ahmed Arafa 001; Ermin Wei; Randall Berry (IEEE J. Sel. Areas Commun., 2021)

Faithful Edge Federated Learning: Scalability and Privacy. - Meng Zhang 013; Ermin Wei; Randall Berry (IEEE J. Sel. Areas Commun., 2021)

A General Sensitivity Analysis Approach for Demand Response Optimizations. - Ding Xiang; Ermin Wei (IEEE Trans. Netw. Sci. Eng., 2021)

On the Convergence of Nested Decentralized Gradient Methods With Multiple Consensus and Gradient Steps. - Albert S. Berahas; Raghu Bollapragada; Ermin Wei (IEEE Trans. Signal Process., 2021)

FlexPD: A Flexible Framework of First-Order Primal-Dual Algorithms for Distributed Optimization. - Fatemeh Mansoori; Ermin Wei (IEEE Trans. Signal Process., 2021)

GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems. - Xiaochun Niu; Ermin Wei (Allerton, 2022)

The Effects of Varying Charging Rates on Optimal Charging Station Choices for Electric Vehicles. - Lihui Yi; Ermin Wei (Allerton, 2022)

DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity. - Xiaochun Niu; Ermin Wei (CDC, 2022)

A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning. - Zhenyu Sun; Ermin Wei (NeurIPS, 2022)

PrimeTime: A Finite-Time Consensus Protocol for Open Networks. - Henry W. Abrahamson; Ermin Wei (CDC, 2023)

Incentive Mechanism Design for Federated Learning and Unlearning. - Ningning Ding; Zhenyu Sun; Ermin Wei; Randall Berry (MobiHoc, 2023)

Supply Function Equilibrium in Networked Electricity Markets. - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (CoRR, 2023)

Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition. - Ignacio Aravena; Daniel K. Molzahn; Shixuan Zhang; Cosmin G. Petra; Frank E. Curtis; Shenyinying Tu; Andreas Wächter; Ermin Wei; Elizabeth Wong; Amin Gholami; Kaizhao Sun; Xu Andy Sun; et al. (Oper. Res., 2023)

A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF. - Frank E. Curtis; Daniel K. Molzahn; Shenyinying Tu; Andreas Wächter; Ermin Wei; Elizabeth Wong (Oper. Res., 2023)

FedHybrid: A Hybrid Federated Optimization Method for Heterogeneous Clients. - Xiaochun Niu; Ermin Wei (IEEE Trans. Signal Process., 2023)

S-NEAR-DGD: A Flexible Distributed Stochastic Gradient Method for Inexact Communication. - Charikleia Iakovidou; Ermin Wei (IEEE Trans. Autom. Control., 2023)

Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters. - Zhenyu Sun; Xiaochun Niu; Ermin Wei (AISTATS, 2024)

A Stochastic Quasi-Newton Method for Non-convex Optimization with Non-uniform Smoothness. - Zhenyu Sun; Ermin Wei (CDC, 2024)

On the Effect of Bounded Rationality in Electricity Markets. - Lihui Yi; Ermin Wei (CDC, 2024)

Strategic Data Revocation in Federated Unlearning. - Ningning Ding; Ermin Wei; Randall Berry (INFOCOM, 2024)

Exact Community Recovery in the Geometric SBM. - Julia Gaudio; Xiaochun Niu; Ermin Wei (SODA, 2024)

Efficient Online Unlearning via Hessian-Free Recollection of Individual Data Statistics. - Xinbao Qiao; Meng Zhang 013; Ming Tang 006; Ermin Wei (CoRR, 2024)

Exact Label Recovery in Euclidean Random Graphs. - Julia Gaudio; Charlie K. Guan; Xiaochun Niu; Ermin Wei (CoRR, 2024)

Collaborative Multi-Agent Video Fast-Forwarding. - Shuyue Lan; Zhilu Wang; Ermin Wei; Amit K. Roy-Chowdhury; Qi Zhu 002 (IEEE Trans. Multim., 2024)

Optimal EV Charging Decisions Considering Charging Rate Characteristics and Congestion Effects. - Lihui Yi; Ermin Wei (IEEE Trans. Netw. Sci. Eng., 2024)

DISH: A Distributed Hybrid Optimization Method Leveraging System Heterogeneity. - Xiaochun Niu; Ermin Wei (IEEE Trans. Signal Process., 2024)

Age-Dependent Differential Privacy. - Meng Zhang 013; Ermin Wei; Randall Berry; Jianwei Huang 001 (IEEE Trans. Inf. Theory, 2024)

Attrition-Aware Adaptation for Multi-Agent Patrolling. - Anthony Goeckner; Xinliang Li; Ermin Wei; Qi Zhu 002 (IEEE Robotics Autom. Lett., 2024)

Hessian-Free Online Certified Unlearning. - Xinbao Qiao; Meng Zhang 013; Ming Tang 006; Ermin Wei (ICLR, 2025)

Debiasing Federated Learning with Correlated Client Participation. - Zhenyu Sun; Ziyang Zhang; Zheng Xu 002; Gauri Joshi; Pranay Sharma; Ermin Wei (ICLR, 2025)

Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning. - Fan Yao; Yuwei Cheng; Ermin Wei; Haifeng Xu (ICLR, 2025)

Incentive Analysis for Agent Participation in Federated Learning. - Lihui Yi; Xiaochun Niu; Ermin Wei (CoRR, 2025)

Optimal Battery Placement in Power Grid. - Ruotong Sun; Ermin Wei; Lihui Yi (CoRR, 2025)

Incentivized Federated Learning and Unlearning. - Ningning Ding; Zhenyu Sun; Ermin Wei; Randall Berry (IEEE Trans. Mob. Comput., 2025)