Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu

Nov-21-2025, 13:53:42 GMT–Neural Information Processing Systems

CNTK, are built in a centralized fashion.

algorithm, artificial intelligence, machine learning, (15 more...)

Neural Information Processing Systems

Nov-21-2025, 13:53:42 GMT

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Country:
- Europe > Switzerland
  - Zürich > Zürich (0.04)
- North America > United States
  - California
    - Los Angeles County > Long Beach (0.04)
    - Yolo County > Davis (0.04)

Industry:
- Information Technology (0.95)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Statistical Learning
    - Gradient Descent (0.92)
  - Representation & Reasoning (1.00)

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Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

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