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Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information


Sep 21, 2022
Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, Edward Suh

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Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis


Sep 12, 2022
Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee

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FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning


Jun 07, 2022
Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu

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Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity


May 30, 2022
Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu

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Sustainable AI: Environmental Implications, Challenges and Opportunities


Oct 30, 2021
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim Hazelwood

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CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery


Nov 05, 2020
Kiwan Maeng, Shivam Bharuka, Isabel Gao, Mark C. Jeffrey, Vikram Saraph, Bor-Yiing Su, Caroline Trippel, Jiyan Yang, Mike Rabbat, Brandon Lucia, Carole-Jean Wu

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Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon


Dec 04, 2019
Kiwan Maeng, Iskender Kushan, Brandon Lucia, Ashish Kapoor

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* NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning 

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