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Oral
Mon Aug 29 01:00 PM -- 01:18 PM (PDT) @ Exhibit Hall A
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling
In Distributed and Parallel Learning
Cheng Wan · Cheng Wan · Youjie Li · Ang Li · Ang Li · Nam Sung Kim · Nam Sung Kim · Yingyan Lin
Oral
Mon Aug 29 01:18 PM -- 01:36 PM (PDT) @ Exhibit Hall A
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
In Distributed and Parallel Learning
Hesham Mostafa
Oral
Mon Aug 29 01:36 PM -- 01:54 PM (PDT) @ Exhibit Hall A
PAPAYA: Practical, Private, and Scalable Federated Learning
In Distributed and Parallel 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
Mon Aug 29 01:54 PM -- 02:12 PM (PDT) @ Exhibit Hall A
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
In Distributed and Parallel Learning
Jinhyun So · Chaoyang He · Chien-Sheng Yang · Songze Li · Qian Yu · Ramy E. Ali · Basak Guler · Salman Avestimehr