Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
IEEE

FEDORA: Federated Ensemble Reinforcement Learning for DAG-Based Task Offloading and Resource Allocation in MEC

Abstract: The increasing demand for compute intensive Internet of Things (IoT) applications has accelerated the adoption of multiaccess-edge computing (MEC) to offload tasks from resource constrained ...
IEEE

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning

Abstract: To address the challenges of high resource dynamism and intensive task concurrency in microservice systems, this paper proposes an adaptive resource scheduling method based on the A3C ...