Abstract: Machine Learning (ML) has become a cornerstone in numerous applications, creating the need for secure and efficient distributed ML frameworks. However, maintaining data privacy in these ...
Artificial intelligence (AI) is no longer confined to centralized data centers. It is increasingly distributed across edge devices, enterprises, multiple cloud providers, and autonomous software ...
Elevate Your Marketing Game with the Agentic Marketing Mastermind New York, United States - March 17, 2026 / Search ...
In this tutorial, we design an end-to-end, production-style analytics and modeling pipeline using Vaex to operate efficiently on millions of rows without materializing data in memory. We generate a ...
This demo demonstrates a distributed locking mechanism using Apache ZooKeeper to coordinate access between multiple API replicas trying to write to a shared text file. In distributed systems, multiple ...
Abstract: Federated learning (FL) offers innovative solutions for privacy-preserving distributed machine learning (ML). Different from centralized data collection algorithms, FL enables participants ...
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