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Round Table Discussion
Tue 11:30 Round Table Discussion
Panel
Mon 11:30 The Future of MLSys: Industry and Academia - panel
Shivaram Venkataraman · Salman Avestimehr · Beidi Chen · Azalia Mirhoseini
Tutorial
Mon 13:00 Time Series Anomaly Detection : Tools, Techniques & Tricks
Patel Dhaval
Tutorial
Mon 13:00 Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration
Hasan Genc
Oral
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
Oral
Tue 14:51 On the Utility of Gradient Compression in Distributed Training Systems
Saurabh Agarwal · Hongyi Wang · Shivaram Venkataraman · Dimitris Papailiopoulos
Oral
Wed 9:39 Improving Model Training with Multi-fidelity Hyperparameter Evaluation
Yimin Huang · Yujun Li · Hanrong Ye · Zhenguo Li · Zhihua Zhang
Oral
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
Workshop
Thu 8:00 Cross-Community Federated Learning: Algorithms, Systems and Co-designs
Tianyi Chen · Pin-Yu Chen · Nathalie Baracaldo Angel · Carlee Joe-Wong
Symposium
Thu 8:00 Chips & Compilers
Yida Wang · Gennady Pekhimenko
Workshop
Thu 8:00 Benchmarking Machine Learning Workloads on Emerging Hardware
Tom St John · Murali Emani
Oral
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