IEEE

VFLR: An Efficient and Privacy-Preserving Vertical Federated Framework for Logistic Regression

Abstract: With the explosive growth of data volume and computing capability, federated learning, which involves constructing global models over multiple data islands, has demonstrated its advantages ...
Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
GitHub

Function decoration for backoff and retry — modern, fast, zero dependencies.

backon is a modern evolution of backoff — a zero-dependency Python library for retry with exponential backoff. It provides decorator, functional, and context manager APIs for both sync and async code.

Researchers claim Microsoft's quantum breakthrough is flawed by basic Python errors

Microsoft's 2029 quantum supercomputer ambitions may have hit a roadblock, as critics claim the company's 2025 quantum ...
Communications of the ACM

Beyond the Pipeline: A Gender Lens on Priorities and Exit Triggers in the High-Tech Industry

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...
IEEE

LogiCode: An LLM-Driven Framework for Logical Anomaly Detection

Abstract: This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond the traditional focus on ...
GitHub

A logical, reasonably standardized but flexible project structure for doing and sharing data science work.

Cookiecutter Data Science (CCDS) is a tool for setting up a data science project template that incorporates best practices. To learn more about CCDS's philosophy, visit the project homepage. If you ...