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Mengying Sun

2 accepted papers

2024

Deep Reinforcement Learning for Energy Minimization in Multi-RIS-Aided Cell-Free MEC Networks

ICASSP 2024accepted

In this paper, we investigate the computation offloading problem in a distributed reconfigurable intelligent surface (RIS)-aided cell-free network, where users offload computing-intensive tasks to their associated base stations with the aid of multiple RISs. To minimize the long-term energy consumpt…

Cited by 0SourceScholar
2021

Learning Deep Neural Networks under Agnostic Corrupted Supervision

ICML 2021spotlight

Training deep neural network models in the presence of corrupted supervision is challenging as the corrupted data points may significantly impact generalization performance. To alleviate this problem, we present an efficient robust algorithm that achieves strong guarantees without any assumption on…