A causal filter of gradient information for enhanced robustness and resilience in distributed convex optimization

Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization

(2020) Angelia Nedic   IEEE SIGNAL PROCESSING MAGAZINE

Push–Pull Gradient Methods for Distributed Optimization in Networks

(2020) Shi Pu et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Byzantine-Resilient Multiagent Optimization

(2020) Lili Su et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Distributed optimization over directed graphs with row stochasticity and constraint regularity

(2019) Van Sy Mai et al.   AUTOMATICA

Resilient Distributed Optimization Algorithm Against Adversarial Attacks

(2019) Chengcheng Zhao et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Necessary and sufficient conditions for distributed constrained optimal consensus under bounded input

(2018) Zhirong Qiu et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Distributed resource allocation over random networks based on stochastic approximation

(2018) Peng Yi et al.   SYSTEMS & CONTROL LETTERS

Circular Formation Algorithms for Multiple Nonholonomic Mobile Robots: An Optimization-Based Approach

(2018) Jiahu Qin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions

(2017) Ethan M. Rudd et al.   IEEE Communications Surveys and Tutorials

A Distributed Algorithm for Convex Constrained Optimization Under Noise

(2016) Nikolaos Chatzipanagiotis et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization

(2012) Pascal Bianchi et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Distributed Asynchronous Constrained Stochastic Optimization

(2011) Kunal Srivastava et al.   IEEE Journal of Selected Topics in Signal Processing