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In the paper, the authors test how machine learning models perform when data is distributed unevenly across different "clients" (users).

This code refers to a specific "non-IID" (non-independent and identically distributed) data scenario used in the study of . 📄 The Primary Paper 6085 4 s0l45.rar

"L45" refers to a specific distribution of sentiment labels (e.g., positive vs. negative) across those clients . 🛠️ How to Access the Paper In the paper, the authors test how machine

Genuine research datasets are typically hosted on platforms like Kaggle or GitHub . In the paper