#distributedoptimization 検索結果
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
                                            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
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
                                            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.
                                            Non-technical summary of my most recent paper, on #cybersecurity and #DistributedOptimization #MathematicalOptimization : ecomunsing.com/new-paper-cybe…
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!
                                            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
                                            Article 8: Distributed Gradient Methods for Convex Machine Learning Problems in Networks by Angelia Nedic (ieeexplore.ieee.org/document/90843…) #MachineLearning #DistributedOptimization 10/
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
                                            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
                                            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/
Non-technical summary of my most recent paper, on #cybersecurity and #DistributedOptimization #MathematicalOptimization : ecomunsing.com/new-paper-cybe…
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
                                            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.
                                            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
                                            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!
                                            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
                                            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
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