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Dmitry Bylinkin

Bridging Compressed Communication and Local Steps via Spectral Method in Federated Learning
2026 · Bystrov, Dmitriy, Chirkov, George, et al. · arXiv (Cornell University)
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Controlling Refusal Behavior of LLMs via Stiefel-Constrained Rotation Steering
2026 · Bunin, Kirill, Bylinkin, Dmitry, et al. · arXiv (Cornell University)
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Leveraging Association Context Retrieval in Knowledge Edit- ing to Build White-Box Attacks on LLMs
2026 · Maksimov, Roman, Aletov, Vladimir, et al. · arXiv (Cornell University)
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The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics
2026 · Badolia, Petr, Obukhov, Leonid, et al. · arXiv (Cornell University)
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Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning
2026 · Bystrov, Dmitriy, Medyakov, Daniil, et al. · arXiv (Cornell University)
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Scalable Knowledge Editing for Mixture-of-Experts LLMs via Tensor-Structured Updates
2026 · Maksimov, Roman, Aletov, Vladimir, et al. · arXiv (Cornell University)
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Accelerated Methods with Complexity Separation Under Data Similarity for Federated Learning Problems
2026 · Bylinkin, Dmitry, Skorik, Sergey, et al. · arXiv (Cornell University)
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Importance Compression: A New Sparsification Mechanism for Distributed Learning
2026 · Fanis Khafizov, Michael Ermoshin, et al. · Lecture notes in computer science
WRDO: Weighted Refusal Direction Optimization in Aligned Language Models
2026 · Grigoriy Evseev, Vladimir Solodkin, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Communication-Efficient Federated Learning with Adaptive Number of Participants
2025 · Skorik, Sergey, Dorofeev, Vladislav, et al. · arXiv (Cornell University)
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Enhancing Stability of Physics-Informed Neural Network Training Through Saddle-Point Reformulation
2025 · Bylinkin, Dmitry, Aleksandrov, Mikhail, et al. · arXiv (Cornell University)
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Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity
2025 · Dmitry Bylinkin, Aleksandr Beznosikov · Proceedings of the AAAI Conference on Artificial Intelligence
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Accelerated Stochastic ExtraGradient: Mixing Hessian and gradient similarity to reduce communication in distributed and federated learning
2024 · Dmitry Bylinkin, Kirill Degtyarev, et al. · Успехи математических наук
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Accelerated Stochastic ExtraGradient: Mixing Hessian and gradient similarity to reduce communication in distributed and federated learning
2024 · Dmitry Bylinkin, Kirill Degtyarev, et al. · Russian Mathematical Surveys
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Works count: 15
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