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67
research
∙ 01/19/2022

Near-Optimal Sparse Allreduce for Distributed Deep Learning

Communication overhead is one of the major obstacles to train large deep...
Shigang Li, et al. ∙
43
research
∙ 01/18/2022

Hardware-Efficient Deconvolution-Based GAN for Edge Computing

Generative Adversarial Networks (GAN) are cutting-edge algorithms for ge...
Azzam Alhussain, et al. ∙
17
research
∙ 01/19/2022

Scotch: An Efficient Secure Computation Framework for Secure Aggregation

Federated learning enables multiple data owners to jointly train a machi...
Arup Mondal, et al. ∙
216
research
∙ 01/13/2022

Direct Mutation and Crossover in Genetic Algorithms Applied to Reinforcement Learning Tasks

Neuroevolution has recently been shown to be quite competitive in reinfo...
Tarek Faycal, et al. ∙
16
research
∙ 01/19/2022

A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis

In biomedical image analysis, the applicability of deep learning methods...
Muhammad Muneeb Saad, et al. ∙
156
research
∙ 01/14/2022

A Survey of Pretrained Language Models Based Text Generation

Text Generation aims to produce plausible and readable text in human lan...
Junyi Li, et al. ∙

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