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Explores the impact of locality on system design, discussing strategies to optimize efficiency and performance through data layout, lock design, and data movement minimization.
Explores censorship resistance strategies, including mimicry, tunneling, and covert channels, to ensure internet accessibility in the face of censorship.
Provides an overview of cloud remote procedure calls and their role in software architecture, covering key concepts, protocols, and practical applications.
Explores the intersection of machine learning and privacy, discussing confidentiality, attacks, differential privacy, and trade-offs in federated learning.
