DIDL '19: Proceedings of the Workshop on Distributed Infrastructures for Deep Learning
2019 Proceeding
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MIDDLEWARE '24
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research-article
A sim2real framework enabling decentralized agents to execute MADDPG tasks
Multi-agent RL is a process of training the agents to collaborate with others. We argue that an additional 'reality gap' in the system aspects occurs when applying sim2real to the multi-agent RL, especially when performing the 'transferred' ...
short-paper
Challenges and Opportunities of DNN Model Execution Caching
We explore the opportunities and challenges of model execution caching, a nascent research area that promises to improve the performance of cloud-based deep inference serving. Broadly, model execution caching relies on servers that are geographically ...