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Luyang Liu

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Augmentations vs Algorithms: What Works in Self-Supervised Learning

Mar 08, 2024
Warren Morningstar, Alex Bijamov, Chris Duvarney, Luke Friedman, Neha Kalibhat, Luyang Liu, Philip Mansfield, Renan Rojas-Gomez, Karan Singhal, Bradley Green, Sushant Prakash

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User-LLM: Efficient LLM Contextualization with User Embeddings

Feb 21, 2024
Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie

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Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models

Jan 12, 2024
Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi

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GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning

Jan 07, 2024
Syed Irfan Ali Meerza, Luyang Liu, Jiaxin Zhang, Jian Liu

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Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations

Dec 02, 2023
Neha Kalibhat, Warren Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Mansfield

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RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense

Apr 11, 2023
Yue Cui, Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu

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FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

Dec 03, 2022
Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang

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Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage

Mar 29, 2022
Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu

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Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services

Feb 04, 2022
Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo

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Cross-Lingual Language Model Meta-Pretraining

Sep 23, 2021
Zewen Chi, Heyan Huang, Luyang Liu, Yu Bai, Xian-Ling Mao

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