Light-stimulated adaptive artificial synapse based on nanocrystalline metal-oxide film von Balashov, Igor S., Chezhegov, Alexander A., Chizhov, Artem S., Grunin, Andrey A., Anokhin, Konstantin V., Fedyanin, Andrey A.

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Photonics approaches to the implementation of neuromorphic computing von Musorin, Alexander I., Shorokhov, Aleksandr S., Chezhegov, Alexander A., Baluyan, Tigran G., Safronov, Kirill R., Chetvertukhin, Artem V., Grunin, Andrey A., Fedyanin, Andrei A.

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Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes von Sadiev, Abdurakhmon, Borodich, Ekaterina, Beznosikov, Aleksandr, Dvinskikh, Darina, Chezhegov, Saveliy, Tappenden, Rachael, Takáč, Martin, Gasnikov, Alexander

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On Decentralized Nonsmooth Optimization von Chezhegov, Savelii, Rogozin, Alexander, Gasnikov, Alexander

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On Decentralized Nonsmooth Optimization von Chezhegov, Savelii, Rogozin, Alexander, Gasnikov, Alexander

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Local SGD for Near-Quadratic Problems: Improving Convergence under Unconstrained Noise Conditions von Sadchikov, Andrey, Chezhegov, Savelii, Beznosikov, Aleksandr, Gasnikov, Alexander

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Accelerated Stochastic Gradient Method with Applications to Consensus Problem in Markov-Varying Networks von Solodkin, Vladimir, Chezhegov, Savelii, Nazikov, Ruslan, Beznosikov, Aleksandr, Gasnikov, Alexander

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A General Framework for Distributed Partitioned Optimization von Chezhegov, Savelii, Novitskii, Anton, Rogozin, Alexander, Parsegov, Sergei, Dvurechensky, Pavel, Gasnikov, Alexander

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Decentralized Finite-Sum Optimization over Time-Varying Networks von Metelev, Dmitry, Chezhegov, Savelii, Rogozin, Alexander, Beznosikov, Aleksandr, Sholokhov, Alexander, Gasnikov, Alexander, Kovalev, Dmitry

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Gradient Clipping Improves AdaGrad when the Noise Is Heavy-Tailed von Chezhegov, Savelii, Klyukin, Yaroslav, Semenov, Andrei, Beznosikov, Aleksandr, Gasnikov, Alexander, Horváth, Samuel, Takáč, Martin, Gorbunov, Eduard

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On Decentralized Nonsmooth Optimization von Chezhegov, Savelii, Rogozin, Alexander, Gasnikov, Alexander

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Decentralized Personalized Federated Learning: Lower Bounds and Optimal Algorithm for All Personalization Modes von Sadiev, Abdurakhmon, Borodich, Ekaterina, Beznosikov, Aleksandr, Dvinskikh, Darina, Chezhegov, Saveliy, Tappenden, Rachael, Takáč, Martin, Gasnikov, Alexander

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A General Framework for Distributed Partitioned Optimization von Chezhegov, Savelii, Novitskii, Anton, Rogozin, Alexander, Parsegov, Sergei, Dvurechensky, Pavel, Gasnikov, Alexander

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Accelerated Stochastic Gradient Method with Applications to Consensus Problem in Markov-Varying Networks von Solodkin, Vladimir, Chezhegov, Savelii, Nazikov, Ruslan, Beznosikov, Aleksandr, Gasnikov, Alexander

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Decentralized Finite-Sum Optimization over Time-Varying Networks von Metelev, Dmitry, Chezhegov, Savelii, Rogozin, Alexander, Beznosikov, Aleksandr, Sholokhov, Alexander, Gasnikov, Alexander, Kovalev, Dmitry

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Gradient Clipping Improves AdaGrad when the Noise Is Heavy-Tailed von Chezhegov, Savelii, Klyukin, Yaroslav, Semenov, Andrei, Beznosikov, Aleksandr, Gasnikov, Alexander, Horváth, Samuel, Takáč, Martin, Gorbunov, Eduard

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A General Framework for Distributed Partitioned Optimization von Chezhegov, Savelii, Novitskii, Anton, Rogozin, Alexander, Parsegov, Sergei, Dvurechensky, Pavel, Gasnikov, Alexander

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