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A personal blog where I share my thoughts, experiences, and technical insights.

Introducing Network-Aware Federated Neural Architecture Search

Introducing my research paper, and open-source framework, NAFNAS. The research focuses on the Neural Architecture Search in a Federated Learning environment with network constraints. We have optimized the communication delay in FL training rounds and model performance while reducing the model size to fit in edge-devices.

26 Jan 2026 • paper review, research

Neural Architecture Search (NAS) - Review, Research

Neural Architecture Search is a field where the goal is finding best performing architecture with efficient search algorithms. Here are the review and some research about it.

16 Mar 2023 • deep learning, paper review

Hidden Technical Debt in Machine Learning Systems

Technical Debt stands for the extra cost that arises in the long term that a team faces and results by selecting easy and quick delivery options.

03 Feb 2023 • paper review

Why AI is Harder Than We Think?

Melanie Mitchell published the paper 'Why AI is Harder Than We Think?' in 2021 and mentions the misinterpretation of AI.

09 Sep 2022 • paper review

"I set my target on rising every day"

GÖKTUĞ ÖCAL
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