Manoel, Andre

6 publications

ICLR 2024 Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation Xinyu Tang, Richard Shin, Huseyin A Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim

ICLR 2022 Differentially Private Fine-Tuning of Language Models Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

NeurIPSW 2022 FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations Mirian Del Carmen Hipolito Garcia, Andre Manoel, Daniel Diaz Madrigal, Robert Sim, Dimitrios Dimitriadis

IJCAI 2022 Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis

NeurIPS 2018 Entropy and Mutual Information in Models of Deep Neural Networks Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová

ICML 2015 Swept Approximate Message Passing for Sparse Estimation Andre Manoel, Florent Krzakala, Eric Tramel, Lenka Zdeborovà