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Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation


Nov 08, 2022
Jianyu Wang, Linruize Tang, Jie Chen, Jingdong Chen


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Non-line-of-sight imaging with arbitrary illumination and detection pattern


Nov 01, 2022
Xintong Liu, Jianyu Wang, Leping Xiao, Zuoqiang Shi, Xing Fu, Lingyun Qiu

* main article: 32 pages with 8 figures; supplementary information: 49 pages with 26 figures 

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Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning


Oct 14, 2022
John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

* v2. arXiv admin note: substantial text overlap with arXiv:2206.15387 

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FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning


Oct 14, 2022
Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar

* 14 pages, 8 figures 

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On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data


Jun 09, 2022
Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang


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Federated Learning under Distributed Concept Drift


Jun 01, 2022
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons

* 18 pages. Submitted to NeurIPS 2022 

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RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning


May 25, 2022
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu

* Code available at https://github.com/mingkaid/rl-prompt 

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FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients


Feb 16, 2022
Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi


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Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer


Sep 16, 2021
Yae Jee Cho, Jianyu Wang, Tarun Chiruvolu, Gauri Joshi


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