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WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system
Journal of Parallel and Distributed Computing, 2020Abstract Stochastic gradient descent (SGD) is a popular stochastic optimization method in machine learning. Traditional parallel SGD algorithms, e.g., SimuParallel SGD (Zinkevich, 2010), often require all nodes to have the same performance or to consume equal quantities of data.
Daning Cheng, Shigang Li, Yunquan Zhang
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Stability and Generalization for Minibatch SGD and Local SGD. [PDF]
CoRR, 2023 The increasing scale of data propels the popularity of leveraging parallelism to speed up the optimization. Minibatch stochastic gradient descent (minibatch SGD) and local SGD are two popular methods for parallel optimization.
Yunwen Lei, Tao Sun 0005, Mingrui Liu
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SCW-SGD: Stochastically Confidence-Weighted SGD
2020 IEEE International Conference on Image Processing (ICIP), 2020As the field of deep learning has been rapidly growing, the optimization methods (optimizers) gain keen attention for efficiently training neural networks. While SGD exhibits practically favorable performance on various tasks, adaptive methods, such as ADAM, are also formulated to equip the gradient-based updating with adaptive scaling in a ...
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The Speech-Generating Device (SGD) Mentoring Program: Training Adults who use an SGD to Mentor
AAC: Augmentative and Alternative Communication, 2012 The speech generating device (SGD) mentoring program : training adults who use an SGD to ...
Roger J Stancliffe +2 more
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2008
In 1999 Alfonso de Senillosa, Spanish entrepreneur, after finishing his studies in the United States, decided to create Workcenter SGD. The company was born on the basis of following the same idea and services that Kinko’s® created successfully in the United States, with nearly 1,300 retail stores devoted to reprographic services. Nevertheless, in four
Cristina Cruz +2 more
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In 1999 Alfonso de Senillosa, Spanish entrepreneur, after finishing his studies in the United States, decided to create Workcenter SGD. The company was born on the basis of following the same idea and services that Kinko’s® created successfully in the United States, with nearly 1,300 retail stores devoted to reprographic services. Nevertheless, in four
Cristina Cruz +2 more
openaire +1 more source
Aperiodic Local SGD: Beyond Local SGD
Proceedings of the 51st International Conference on Parallel Processing, 2022Hao Zhang 0016 +3 more
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AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning
IEEE Journal on Selected Areas in Communications, 2022Guangfeng Yan +4 more
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LR-SGD: Layer-based Random SGD For Distributed Deep Learning
Proceedings of the 8th International Conference on Computing and Artificial Intelligence, 2022Zhongyu Zhang, Yanqing Hu, Qing Ye
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