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Grigory Malinovsky
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Grigory Malinovsky14 visible / 14 total nodes / 43 links

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Works onCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipAuthorshipAuthorshipWorks onWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipAuthorshipGrigory MalinovskyAGrigory MalinovskyResearcherDistance-Aware Muon: Adaptive Step Scaling for Normalized OptimizationWDistance-Aware Muon: Ad...preprint / 2026Peter RichtárikAPeter RichtárikResearcherYury DemidovichAYury DemidovichResearcherAbhishek ChakrabortyAAbhishek ChakrabortyResearcherAngelia NedićAAngelia NedićResearcherServer-Side Stepsizes and Sampling Without Replacement Provably Help in Federated OptimizationWServer-Side Stepsizes a...preprint / 2022Federated Random Reshuffling with Compression and Variance ReductionWFederated Random Reshuf...preprint / 2022Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated LearningWVariance Reduced ProxSk...preprint / 2022From Local SGD to Local Fixed-Point Methods for Federated LearningWFrom Local SGD to Local...preprint / 2020Machine LearningTMachine Learning49008 worksCan 5th Generation Local Training Methods Support Client Sampling? Yes!WCan 5th Generation Loca...preprint / 2023Distributed Proximal Splitting Algorithms with Rates and AccelerationWDistributed Proximal Sp...preprint / 2022MAST: Model-Agnostic Sparsified TrainingWMAST: Model-Agnostic Sp...preprint / 2026
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Grigory Malinovsky

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PaperDistance-Aware Muon: Adaptive Step Scaling for Normalized OptimizationAuthorship / preprint / 2026PersonPeter RichtárikCo-authorship / ResearcherPersonYury DemidovichCo-authorship / ResearcherPersonAbhishek ChakrabortyCo-authorship / ResearcherPersonAngelia NedićCo-authorship / ResearcherPaperServer-Side Stepsizes and Sampling Without Replacement Provably Help in Federated OptimizationAuthorship / preprint / 2022PaperFederated Random Reshuffling with Compression and Variance ReductionAuthorship / preprint / 2022PaperVariance Reduced ProxSkip: Algorithm, Theory and Application to Federated LearningAuthorship / preprint / 2022

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