Publications
publications by categories in reversed chronological order. * denotes equal contribution; † denotes corresponding authorship.
2023
2022
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preprintDELTA: Diverse Client Sampling for Fasting Federated LearningarXiv preprint arXiv:2205.13925 2022
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preprintFedDebias: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous DataarXiv preprint arXiv:2205.13462 2022
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preprintUnderstanding the Training Dynamics in Federated Deep Learning via Aggregation Weight Optimization2022
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OPT 2022Decentralized Stochastic Optimization with Client SamplingOptimization and machine learning (OPT) workshop, in NeurIPS 2022
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preprint
2021
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preprintTowards Federated Learning on Time-Evolving Heterogeneous DataarXiv preprint arXiv:2112.13246, appeared in FL-ICML workshop 2021
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NeurIPS 2021An Improved Analysis of Gradient Tracking for Decentralized Machine LearningIn Advances in Neural Information Processing Systems (NeurIPS) 2021
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ICML 2021Consensus Control for Decentralized Deep LearningIn International Conference on Machine Learning (ICML) 2021
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OPT 2021Understanding Memorization from the Perspective of Optimization via Efficient Influence EstimationOptimization and machine learning (OPT) workshop, in NeurIPS 2021
2020
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ICML 2020Extrapolation for Large-batch Training in Deep LearningIn International Conference on Machine Learning (ICML) 2020
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CLVision 2020Generalized Class Incremental LearningIn Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Continual Learning 2020
2019
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TPDS 2019Ga-par: Dependable Microservice Orchestration Framework for Geo-distributed CloudsIEEE Transactions on Parallel and Distributed Systems (TPDS) 2019
2018
2017
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IJCAI 2017Hybrid Neural Networks for Learning the Trend in Time SeriesIn Proceedings of the twenty-sixth international joint conference on artificial intelligence (IJCAI) 2017
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IEEE 2017Fog Orchestration for IoT Services: Issues, Challenges and DirectionsIEEE Internet Computing 2017