Rustem Islamov

Latest

• AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
• Clip21: Error Feedback for Gradient Clipping
• Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
• Adaptive Compression for Communication-Efficient Distributed Training
• Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
• Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
• FedNL: Making Newton-Type Methods Applicable to Federated Learning
• Distributed Second Order Methods with Fast Rates and Compressed Communication