Abstract: Asynchronous Proximal Policy Optimization (APPO) has emerged as a crucial framework for achieving scalability in distributed reinforcement learning. In this paper, we propose an enhanced ...
Abstract: The increasing demand for low power edge-Al devices that target various tasks has driven many research efforts. To address this demand, many technologies such as computing-in-memory (CIM) [1 ...
Abstract: Tag-based physical-layer authentication (PLA) has gained significant research interest due to its high security and low complexity compared to traditional upper-layer authentication ...
Abstract: Instant messaging applications (IMAs) rely on message encryption to preserve privacy and security, which makes network traffic inspection difficult. For better network monitoring and ...
Abstract: The complexity and dynamicity of microservice architectures in cloud environments present substantial challenges to the reliability and availability of the services built on these ...
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