IEEE

SCALE: Tackling Communication Bottlenecks in Confidential Distributed Machine Learning

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 ...

Introducing the Agentic Marketing Mastermind for Agency Owners

Elevate Your Marketing Game with the Agentic Marketing Mastermind New York, United States - March 17, 2026 / Search ...
marktechpost

A Coding Guide to Build a Scalable End-to-End Analytics and Machine Learning Pipeline on Millions of Rows Using Vaex

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 ...
GitHub

Zookeeper Distributed Locking Demo

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 ...
IEEE

Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges

Abstract: Federated learning (FL) offers innovative solutions for privacy-preserving distributed machine learning (ML). Different from centralized data collection algorithms, FL enables participants ...