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Round Table Discussion
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Tue 11:30 |
Round Table Discussion |
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Panel
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Mon 11:30 |
The Future of MLSys: Industry and Academia - panel Shivaram Venkataraman · Salman Avestimehr · Beidi Chen · Azalia Mirhoseini |
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Tutorial
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Mon 13:00 |
Time Series Anomaly Detection : Tools, Techniques & Tricks Patel Dhaval |
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Tutorial
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Mon 13:00 |
Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration Hasan Genc |
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Oral
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Mon 13:36 |
PAPAYA: Practical, Private, and Scalable Federated Learning Dzmitry Huba · John Nguyen · Kshitiz Malik · Ruiyu Zhu · Mike Rabbat · Ashkan Yousefpour · Carole-Jean Wu · Hongyuan Zhan · Pavel Ustinov · Harish Srinivas · Kaikai Wang · Anthony Shoumikhin · Jesik Min · Mani Malek |
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Oral
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Tue 14:51 |
On the Utility of Gradient Compression in Distributed Training Systems Saurabh Agarwal · Hongyi Wang · Shivaram Venkataraman · Dimitris Papailiopoulos |
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Oral
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Wed 9:39 |
Improving Model Training with Multi-fidelity Hyperparameter Evaluation Yimin Huang · Yujun Li · Hanrong Ye · Zhenguo Li · Zhihua Zhang |
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Oral
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Wed 14:51 |
HALOS: Hashing Large Output Space for Cheap Inference Zichang Liu · Zhaozhuo Xu · Alan Ji · Junyan Zhang · Jonathan Li · Beidi Chen · Anshumali Shrivastava |
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Workshop
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Thu 8:00 |
Cross-Community Federated Learning: Algorithms, Systems and Co-designs Tianyi Chen · Pin-Yu Chen · Nathalie Baracaldo Angel · Carlee Joe-Wong |
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Symposium
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Thu 8:00 |
Chips & Compilers Yida Wang · Gennady Pekhimenko |
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Workshop
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Thu 8:00 |
Benchmarking Machine Learning Workloads on Emerging Hardware Tom St John · Murali Emani |
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Oral
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Wed 13:18 |
torch.fx: Practical Program Capture and Transformation for Deep Learning in Python James Reed · Zachary DeVito · Horace He · Ansley Ussery · Jason Ansel |