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Delves into the real-world applications of Distributed Ledger Technologies in various sectors, showcasing examples like border control systems and supply chain monitoring.
Introduces reinforcement learning, covering its definitions, applications, and theoretical foundations, while outlining the course structure and objectives.
Explores the design of a general-purpose distributed execution system, covering challenges, specialized frameworks, decentralized control logic, and high-performance shuffle.
Delves into the energy-efficient distributed machine learning approach in the IoT era, emphasizing the importance of summarizing data for improved communication energy efficiency.
Delves into the world of decentralized finance derivatives, exploring crypto derivatives types and existing protocols while discussing the need for new derivatives and financial data oracles.
