Qian, Xun

9 publications

AISTATS 2023 Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity Xun Qian, Hanze Dong, Tong Zhang, Peter Richtarik

TMLR 2023 Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation Rustem Islamov, Xun Qian, Slavomir Hanzely, Mher Safaryan, Peter Richtárik

AISTATS 2022 Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning Xun Qian, Rustem Islamov, Mher Safaryan, Peter Richtarik

ICML 2022 FedNL: Making Newton-Type Methods Applicable to Federated Learning Mher Safaryan, Rustem Islamov, Xun Qian, Peter Richtarik

ICML 2021 Distributed Second Order Methods with Fast Rates and Compressed Communication Rustem Islamov, Xun Qian, Peter Richtarik

NeurIPS 2021 Error Compensated Distributed SGD Can Be Accelerated Xun Qian, Peter Richtarik, Tong Zhang

JMLR 2021 L-SVRG and L-Katyusha with Arbitrary Sampling Xun Qian, Zheng Qu, Peter Richtárik

ICML 2020 Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li, Dmitry Kovalev, Xun Qian, Peter Richtarik

ICML 2019 SAGA with Arbitrary Sampling Xun Qian, Zheng Qu, Peter Richtárik