Hessian-Free Online Certified Unlearning - Xinbao Qiao; Meng Zhang; Ming Tang; Ermin Wei (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Debiasing Federated Learning with Correlated Client Participation - Zhenyu Sun; Ziyang Zhang; Zheng Xu; Gauri Joshi; Pranay Sharma; Ermin Wei (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning - Fan Yao; Yuwei Cheng; Ermin Wei; Haifeng Xu (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

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

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

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

Collaborative Multi-Agent Video Fast-Forwarding - Shuyue Lan; Zhilu Wang; Ermin Wei; Amit K. Roy-Chowdhury; Qi Zhu (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)

Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters - Zhenyu Sun; Xiaochun Niu; Ermin Wei (International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain, 2024)

A Stochastic Quasi-Newton Method for Non-convex Optimization with Non-uniform Smoothness - Zhenyu Sun; Ermin Wei (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

On the Effect of Bounded Rationality in Electricity Markets - Lihui Yi; Ermin Wei (63rd IEEE Conference on Decision and Control, CDC 2024, Milan, Italy, December 16-19, 2024, 2024)

Strategic Data Revocation in Federated Unlearning - Ningning Ding; Ermin Wei; Randall Berry (IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, Vancouver, BC, Canada, May 20-23, 2024, 2024)

Exact Community Recovery in the Geometric SBM - Julia Gaudio; Xiaochun Niu; Ermin Wei (Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, SODA 2024, Alexandria, VA, USA, January 7-10, 2024, 2024)

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

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

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

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

Debiasing Federated Learning with Correlated Client Participation - Zhenyu Sun; Ziyang Zhang; Zheng Xu; Gauri Joshi; Pranay Sharma; Ermin Wei (CoRR, 2024)

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)

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

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

PrimeTime: A Finite-Time Consensus Protocol for Open Networks - Henry W. Abrahamson; Ermin Wei (62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, December 13-15, 2023, 2023)

Incentive Mechanism Design for Federated Learning and Unlearning - Ningning Ding; Zhenyu Sun; Ermin Wei; Randall Berry (Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, MobiHoc 2023, Washington, DC, USA, October 23-26, 2023, 2023)

Attrition-Aware Adaptation for Multi-Agent Patrolling - Anthony Goeckner; Xinliang Li; Ermin Wei; Qi Zhu (CoRR, 2023)

Collaborative Multi-Agent Video Fast-Forwarding - Shuyue Lan; Zhilu Wang; Ermin Wei; Amit K. Roy-Chowdhury; Qi Zhu (CoRR, 2023)

Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters - Zhenyu Sun; Xiaochun Niu; Ermin Wei (CoRR, 2023)

Exact Community Recovery in the Geometric SBM - Julia Gaudio; Xiaochun Niu; Ermin Wei (CoRR, 2023)

Optimal EV Charging Decisions Considering Charging Rate Characteristics and Congestion Effects - Lihui Yi; Ermin Wei (CoRR, 2023)

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

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

Strategic Data Revocation in Federated Unlearning - Ningning Ding; Ermin Wei; Randall Berry (CoRR, 2023)

GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems - Xiaochun Niu; Ermin Wei (58th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2022, Monticello, IL, USA, September 27-30, 2022, 2022)

The Effects of Varying Charging Rates on Optimal Charging Station Choices for Electric Vehicles - Lihui Yi; Ermin Wei (58th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2022, Monticello, IL, USA, September 27-30, 2022, 2022)

DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity - Xiaochun Niu; Ermin Wei (61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, December 6-9, 2022, 2022)

A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning - Zhenyu Sun; Ermin Wei (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Age-Dependent Differential Privacy - Meng Zhang; Ermin Wei; Randall Berry; Jianwei Huang (SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6 - 10, 2022, 2022)

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

Age-Dependent Differential Privacy - Meng Zhang; Ermin Wei; Randall Berry; Jianwei Huang (CoRR, 2022)

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

Faithful Edge Federated Learning: Scalability and Privacy - Meng Zhang; 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)

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

On the Convergence of NEAR-DGD for Nonconvex Optimization with Second Order Guarantees - Charikleia Iakovidou; Ermin Wei (2021 60th IEEE Conference on Decision and Control (CDC), Austin, TX, USA, December 14-17, 2021, 2021)

Optimal Mechanism Design for Fresh Data Acquisition - Meng Zhang; Ahmed Arafa; Ermin Wei; Randall A. Berry (IEEE International Symposium on Information Theory, ISIT 2021, Melbourne, Australia, July 12-20, 2021, 2021)

Faithful Edge Federated Learning: Scalability and Privacy - Meng Zhang; Ermin Wei; Randall Berry (CoRR, 2021)

Monetizing Mobile Data via Data Rewards - Haoran Yu; 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)

Distributed Multi-agent Video Fast-forwarding - Shuyue Lan; Zhilu Wang; Amit K. Roy-Chowdhury; Ermin Wei; Qi Zhu (MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020, 2020)

Learning to price vehicle service with unknown demand - Haoran Yu; Ermin Wei; Randall A. Berry (Mobihoc '20: The Twenty-first ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Virtual Event, USA, October 11-14, 2020, 2020)

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

Optimal and Quantized Mechanism Design for Fresh Data Acquisition - Meng Zhang; Ahmed Arafa; Ermin Wei; Randall A. Berry (CoRR, 2020)

Learning to Price Vehicle Service with Unknown Demand - Haoran Yu; Ermin Wei; Randall A. Berry (CoRR, 2020)

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

Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances - Haoran Yu; 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)

Renewable generation investment with differentiated downstream competition - Brendan Badia; Randall Berry; Ermin Wei (57th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2019, Monticello, IL, USA, September 24-27, 2019, 2019)

Nested Distributed Gradient Methods with Stochastic Computation Errors - Charikleia Iakovidou; Ermin Wei (57th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2019, Monticello, IL, USA, September 24-27, 2019, 2019)

Nested Distributed Gradient Methods with Adaptive Quantized Communication - Albert S. Berahas; Charikleia Iakovidou; Ermin Wei (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

A General Framework of Exact Primal-Dual First-Order Algorithms for Distributed Optimization \(_*\) - Fatemeh Mansoori; Ermin Wei (58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, December 11-13, 2019, 2019)

A Business Model Analysis of Mobile Data Rewards - Haoran Yu; Ermin Wei; Randall A. Berry (2019 IEEE Conference on Computer Communications, INFOCOM 2019, Paris, France, April 29 - May 2, 2019, 2019)

Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances - Haoran Yu; Ermin Wei; Randall A. Berry (Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, Phoenix, AZ, USA, June 24-28, 2019, 2019)

Analyzing Location-Based Advertising for Vehicle Service Providers Using Effective Resistances - Haoran Yu; Ermin Wei; Randall A. Berry (CoRR, 2019)

Investment in EV charging spots for parking - Brendan Badia; Randall Berry; Ermin Wei (CoRR, 2019)

Monetizing Mobile Data via Data Rewards - Haoran Yu; Ermin Wei; Randall A. Berry (CoRR, 2019)

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

Price and Capacity Competition for EV parking with Government Mandates - Brendan Badia; Randall Berry; Ermin Wei (56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018, Monticello, IL, USA, October 2-5, 2018, 2018)

Dynamic Price Discrimination in Demand Response Market: A Bilevel Game Theoretical Model - Ding Xiang; Ermin Wei (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018, Anaheim, CA, USA, November 26-29, 2018, 2018)

Watch Ads, Earn Data: Economics of Mobile Data Rewards - Haoran Yu; Ermin Wei; Randall Berry (Proceedings of the 13th Workshop on Economics of Networks, Systems and Computation, NetEcon@SIGMETRICS 2018, Irvine, CA, USA, June 18, 2018, 2018)

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

A General Sensitivity Analysis Approach for Demand Response Optimizations - Ding Xiang; Ermin Wei (CoRR, 2018)

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)

Parallel multi-splitting proximal method for star networks - Ermin Wei (2017 American Control Conference, ACC 2017, Seattle, WA, USA, May 24-26, 2017, 2017)

Superlinearly convergent asynchronous distributed network newton method - Fatemeh Mansoori; Ermin Wei (56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, December 12-15, 2017, 2017)

Improving social welfare by demand response general framework and quantitative characterization - Ding Xiang; Ermin Wei (2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017, Montreal, QC, Canada, November 14-16, 2017, 2017)

Scalable spectrum allocation for large networks based on sparse optimization - Binnan Zhuang; Dongning Guo; Ermin Wei; Michael L. Honig (2017 IEEE International Symposium on Information Theory, ISIT 2017, Aachen, Germany, June 25-30, 2017, 2017)

Competition and investment in on-demand networking technology - Chang Liu; Yuanzhang Xiao; Ermin Wei; Randall A. Berry (13th Annual Conference on Wireless On-demand Network Systems and Services, WONS 2017, Jackson, WY, USA, February 21-24, 2017, 2017)

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

Scalable Spectrum Allocation for Large Networks Based on Sparse Optimization - Binnan Zhuang; Dongning Guo; Ermin Wei; Michael L. Honig (CoRR, 2017)

Robust supply function bidding in electricity markets with renewables - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016, Monticello, IL, USA, September 27-30, 2016, 2016)

Supply function equilibrium in power markets: Mesh networks - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, DC, USA, December 7-9, 2016, 2016)

Efficiency of linear supply function bidding in electricity markets - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, CA, USA, November 8-11, 2015, 2015)

Efficiency of supply function equilibrium in networked markets - Yuanzhang Xiao; Chaithanya Bandi; Ermin Wei (53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park & Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015, 2015)

Investment and competition with positive externalities in open networks - Chang Liu; Yuanzhang Xiao; Ermin Wei; Randall A. Berry (53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Allerton Park & Retreat Center, Monticello, IL, USA, September 29 - October 2, 2015, 2015)

Fairness considerations in network flow problems - Ermin Wei; Chaithanya Bandi (54th IEEE Conference on Decision and Control, CDC 2015, Osaka, Japan, December 15-18, 2015, 2015)

Distributed optimization and market analysis of networked systems - Ermin Wei (Massachusetts Institute of Technology, Cambridge, MA, USA, 2014)

Competitive equilibrium in electricity markets with heterogeneous users and price fluctuation penalty - Ermin Wei; Azarakhsh Malekian; Asuman E. Ozdaglar (53rd IEEE Conference on Decision and Control, CDC 2014, Los Angeles, CA, USA, December 15-17, 2014, 2014)

A Comprehensive Risk Management System on Building Energy Retrofit - Ermin Wei; Saeed R. Bagheri; Sirisha Rangavajhala; Eric Shen (2014 Annual SRII Global Conference, San Jose, CA, USA, April 23-25, 2014, 2014)

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)

On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers - Ermin Wei; Asuman E. Ozdaglar (IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013, Austin, TX, USA, December 3-5, 2013, 2013)

Distributed Alternating Direction Method of Multipliers - Ermin Wei; Asuman E. Ozdaglar (Proceedings of the 51th IEEE Conference on Decision and Control, CDC 2012, December 10-13, 2012, Maui, HI, USA, 2012)

A distributed newton method for dynamic Network Utility Maximization with delivery contracts - Ermin Wei; Asuman E. Ozdaglar; Atilla Eryilmaz; Ali Jadbabaie (46th Annual Conference on Information Sciences and Systems, CISS 2012, Princeton, NJ, USA, March 21-23, 2012, 2012)

On dual convergence of the distributed Newton method for Network Utility Maximization - Ermin Wei; Michael Zargham; Asuman E. Ozdaglar; Ali Jadbabaie (50th IEEE Conference on Decision and Control and European Control Conference, 11th European Control Conference, CDC/ECC 2011, Orlando, FL, USA, December 12-15, 2011, 2011)

A distributed Newton method for Network Utility Maximization - Ermin Wei; Asuman E. Ozdaglar; Ali Jadbabaie (Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010, December 15-17, 2010, Atlanta, Georgia, USA, 2010)