Search Results for author: Conghui Tan

Found 6 papers, 2 papers with code

Fast and Secure Distributed Nonnegative Matrix Factorization

1 code implementation7 Sep 2020 Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li, Nikos Mamoulis

Nonnegative matrix factorization (NMF) has been successfully applied in several data mining tasks.

Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization

no code implementations15 Jan 2020 Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang

Dual averaging-type methods are widely used in industrial machine learning applications due to their ability to promoting solution structure (e. g., sparsity) efficiently.

Central Server Free Federated Learning over Single-sided Trust Social Networks

1 code implementation11 Oct 2019 Chaoyang He, Conghui Tan, Hanlin Tang, Shuang Qiu, Ji Liu

However, in many social network scenarios, centralized federated learning is not applicable (e. g., a central agent or server connecting all users may not exist, or the communication cost to the central server is not affordable).

Federated Learning

Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity

no code implementations NeurIPS 2018 Conghui Tan, Tong Zhang, Shiqian Ma, Ji Liu

Regularized empirical risk minimization problem with linear predictor appears frequently in machine learning.

Barzilai-Borwein Step Size for Stochastic Gradient Descent

no code implementations NeurIPS 2016 Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian

One of the major issues in stochastic gradient descent (SGD) methods is how to choose an appropriate step size while running the algorithm.

Stochastic Optimization

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