Maximilian Lam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
4
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ASPLOS | GPU-based Private Information Retrieval for On-Device Machine Learning Inference. | Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh |
| 2021 | ICML | Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix. | Maximilian Lam, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi, Michael Mitzenmacher |
| 2018 | AISTATS | Gradient Diversity: a Key Ingredient for Scalable Distributed Learning. | Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett |
| 2016 | ISIT | Speeding up distributed machine learning using codes. | Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran |