Research map / Optimization / Distributed and compressed
Distributed Stochastic Optimization via Adaptive SGD
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SVRG OL instead of VW (500 rounds) | Logistic regression · KDD12 | communication rounds: 500 -> 4 | Helped |
| Use SVRG OL instead of VW (500 rounds) | Logistic regression · ADS SMALL | communication rounds: 500 -> 14 | Helped |
| Use SVRG OL instead of VW (500 rounds) | Logistic regression · KDD12 | test loss: 0.15550 -> 0.154985 | Helped |
| Use SVRG OL instead of VW (500 rounds) | Logistic regression · ADS SMALL | test loss: 0.22251 -> 0.22244 | Helped |
| Use SVRG OL instead of VW (500 rounds) | Logistic regression · KDD12 | AUC: 78.881 -> 78.431 | Hurt |
| Use SVRG OL instead of VW (500 rounds) | Logistic regression · ADS SMALL | AUC: 83.499 -> 83.479 | Hurt |
| Use SVRG OL instead of Spark ML (100 rounds) | Logistic regression · KDD12 | runtime (minutes): 36 -> 8 | Helped |
| Use SVRG OL instead of Spark ML (100 rounds) | Logistic regression · ADS SMALL | runtime (minutes): 42 -> 94 | Hurt |
Closest papers by meaning
- Asynchronous Distributed Semi-Stochastic Gradient Optimization (AAAI 2016 · similarity 0.91)
- STL-SGD: Speeding Up Local SGD with Stagewise Communication Period (AAAI 2021 · similarity 0.90)
- Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization (ICML 2018 · similarity 0.89)
- Enhancing Parallelism in Decentralized Stochastic Convex Optimization (ICML 2025 · similarity 0.89)
- Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent (AAAI 2024 · similarity 0.89)
- AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent (AAAI 2025 · similarity 0.88)
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