#CallForPapers We invite you to contribute a paper to the Special Issue on "#DistributedOptimization and Resilient #Control for #SmartEnergy Systems"! 👉 Learn more and submit here: brnw.ch/21x1hOd #smartenergysystems #smartgrids #mdpienergies #openaccess

In "A Tutorial on #DistributedOptimization for #CooperativeRobotics: From Setups and Algorithms to Toolboxes and Research Directions," @Unibo authors explore constraint-coupled and aggregative setups, map #robotics challenges to #optimization models, and more.

How can teams of #robots work together without a central brain? A new tutorial in @ProceedingsIEEE's Jan 2025 edition dives into #DistributedOptimization for #CooperativeRobotics covering key frameworks, #algorithms, and real-world tools: bit.ly/ProceedingsIEE… #robotics

New #SpecialIssue "Distributed Optimization: Methods and Emerging Applications", edited by Dr. Themistoklis Charalambous. Deadline is 30 April 2026. Submissions are welcome until deadline! mdpi.com/journal/inform… #distributednetwork #distributedoptimization @ComSciMath_Mdpi

Thanks to the deal between the UC and Elsevier, now UC faculty's Elsevier papers are available open access. If interested in distributed submodular maximization, check our new Automatica @IFAC_Control paper, open access! sciencedirect.com/science/articl… #MAEUCI #DistributedOptimization

A new study in #IEEECAA #JournalofAutomaticaSinica presents an algorithm to solve a #DistributedOptimization problem encountered in smartgrids, where the decision variable is contained within a closed convex set: ow.ly/1CqY50LHKbK

Excited to announce our next talk: Speaker: Usman A. Khan Date/Time: May 19, *4:00pm* CET Title: Distributed stochastic non-convex optimization: Optimal regimes and tradeoffs #DistributedOptimization Follow us and register at dsiseminar.github.io!

We will have a major code release in the coming weeks for our Distributed Learning and Federated Learning setups, including FedCOMGATE and many more. Stay tuned. For getting updates you can follow my GitHub handle: github.com/mmkamani7 #MachineLearning #DistributedOptimization

Article 8: Distributed Gradient Methods for Convex Machine Learning Problems in Networks by Angelia Nedic (ieeexplore.ieee.org/document/90843…) #MachineLearning #DistributedOptimization 10/

Our new work "Distributed Event-Triggered Gradient Method for Constrained Convex Minimization" was recently published in IEEE Transactions on Automatic Control. #DistributedOptimization ieeexplore.ieee.org/stamp/stamp.js…