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07/05/2023
Improving Automatic Parallel Training via Balanced Memory Workload Optimization
Transformer models have emerged as the leading approach for achieving st...
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05/27/2023
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
Due to the recent success of diffusion models, text-to-image generation ...
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03/06/2023
Angel-PTM: A Scalable and Economical Large-scale Pre-training System in Tencent
Recent years have witnessed the unprecedented achievements of large-scal...
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07/29/2022
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
Vertical federated learning (VFL) is an emerging paradigm that allows di...
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06/16/2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Due to the rising concerns on privacy protection, how to build machine l...
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12/26/2021
K-Core Decomposition on Super Large Graphs with Limited Resources
K-core decomposition is a commonly used metric to analyze graph structur...
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07/03/2019