Frontiers

Improving Machine Learning for Water Resources Through Scientific Knowledge Integration

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
IEEE

Fairness-Aware Incentive Mechanism for Multi-Server Federated Learning in Edge-Enabled Wireless Networks With Differential Privacy

Abstract: As a distributed machine learning method, federated learning (FL) can collaboratively train a global model with multiple devices without sharing the original data, thus protecting certain ...
The Hollywood Reporter

Neel Somani on How Privacy-Preserving Machine Learning Is Changing the Digital Landscape

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...
IEEE

Machine Learning Inference Pipeline Execution Using Pure SQL Based on Operator Fusion

Abstract: Deploying machine learning (ML) inference pipelines in databases become increasingly prevalent in many applications. In order to avoid data transfer between the database and ML runtimes, ...
GitHub

sql-interview-questions

Advanced SQL for Data Analytics. A collection of problem-solving solutions covering complex Joins, Window Functions, CTEs, and Query Optimization. Includes real-world interview questions, schema ...