Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees

von Jankov, Dimitrije
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 2 of 4 (2021)

Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training

von Yuan, Binhang
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 3 of 6 (2023)

Tensor Relational Algebra for Distributed Machine Learning System Design

von Yuan, Binhang
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 2 of 4 (2021)

Lachesis: Automated Partitioning for UDF-Centric Analytics (Revision of Paper 270)

von Zou, Jia
Veröffentlicht in VLDB (47. : 2021 : Kopenhagen; Online) 47th International Conference on Very Large Data Bases 2021 ; Part 2 of 4 (2021)

Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees

von WANG, Jue
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 25 of 50 (2023)

Decentralized Training of Foundation Models in Heterogeneous Environments

von Yuan, Binhang
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 33 of 50 (2023)

BAGUA: Scaling up Distributed Learning with System Relaxations

von Gan, Shaoduo
Veröffentlicht in International Conference on Very Large Data Bases (48. : 2022 : Sydney; Online) 48th International Conference on Very Large Data Bases (VLDB 2022) ; Part 2 of 6 (2023)