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This presentation explores "Energy-Efficient Task Scheduling," emphasizing its application within Edge-Cloud environments. We begin with an overview and acknowledgment of contributors, followed by a detailed abstract discussing challenges, solutions via reinforcement learning, and potential energy savings. The presentation delves into IoT and Edge limitations, a literature survey, and the Edge-Cloud system analysis. Implementation insights cover system requirements, software architecture, and...