Conference proceedings talk, Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, United States
In this talk, I use 5 minutes to present our paper Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering. You can visit my talk online here
Conference proceedings talk, Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, United States
In this talk, I use 5 minutes to present our paper BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression. You can visit my talk online here.
In this talk, I presented my work with Zhize Li @KAUST and Peter Richtárik on our paper FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning.
Conference proceedings talk, AAAI Conference on Artificial Intelligence (AAAI 2020), New York, United States
In this talk, I presented my work with Prof. Wei Chen @MSRA on our paper Online Second Price Auction with Semi-bandit Feedback Under the Non-Stationary Setting. Because of the virus in China, I cannot go the the AAAI main conference, and I will give my oral presentation remotely. The paper can be downloaded here. The PPT is available at here.
Conference proceedings talk, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), Wurzburg, Germany
In this talk, I presented my work with Prof. Wei Chen @MSRA on our paper Stochastic One-Sided Full-Information Bandit. The paper can be downloaded here.