Author:
Sarvotham Shriram,Riedi Rudolf,Baraniuk Richard
Cited by
30 articles.
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1. Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20
2. SparDL: Distributed Deep Learning Training with Efficient Sparse Communication;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
3. Flexible Communication for Optimal Distributed Learning over Unpredictable Networks;2023 IEEE International Conference on Big Data (BigData);2023-12-15
4. PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17
5. Baileys: An Efficient Distributed Machine Learning Framework by Dynamic Grouping;Proceedings of the 2023 15th International Conference on Machine Learning and Computing;2023-02-17