Research Projects

Current Projects

Foundations of Trust-Centered Multi-Agent Distributed Coordination (2022-2026)

Unifying Information- and Optimization-theoretic approaches for modeling and training GANs (2021-2024)

Harnessing Intrinsic Dynamics for Inherently Privacy-Preserving Decentralized Optimization (2021-2025)

Past Projects

Random Methods for Large-Scale Optimization (2021-2024)

Distributed Quasi-Newton Methods for Nonsmooth Optimization (2017-2020)

Identification and Isolation of Malicious Behavior in Multi-Agent Optimization Algorithms (2017-2018)

Adaptive Decentralized Resource Optimization (2016-2019)

Design of Network Dynamics for Competitive-Strategic Team Games with Minimum Regret (2016-2019)

Optimization Algorithms for Resource Management: Decentralization, Near- Optimality and the Price of Anarchy (2012-2019)