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Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks



Seyyedali Hosseinalipour , Su Wang , Nicolo Michelusi , Vaneet Aggarwal , Christopher G. Brinton , David J. Love , Mung Chiang


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GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection



Xiaolei Hua , Lin Zhu , Shenglin Zhang , Zeyan Li , Su Wang , Dong Zhou , Shuo Wang , Chao Deng


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Less is More: Generating Grounded Navigation Instructions from Landmarks



Su Wang , Ceslee Montgomery , Jordi Orbay , Vighnesh Birodkar , Aleksandra Faust , Izzeddin Gur , Natasha Jaques , Austin Waters , Jason Baldridge , Peter Anderson


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threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning



Su Wang , Zhiliang Wang , Tao Zhou , Xia Yin , Dongqi Han , Han Zhang , Hongbin Sun , Xingang Shi , Jiahai Yang

* 13 pages, 6 figures 

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DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications



Dongqi Han , Zhiliang Wang , Wenqi Chen , Ying Zhong , Su Wang , Han Zhang , Jiahai Yang , Xingang Shi , Xia Yin

* Accepted by 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS '21) 

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UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach



Su Wang , Seyyedali Hosseinalipour , Maria Gorlatova , Christopher G. Brinton , Mung Chiang


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