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Alex Nguyen
Alex Nguyen

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Building models on decentralized data? Federated Averaging (FedAvg) + gradient compression reduce communication overhead by 94%+ 🚀. Handle non-IID data, add DP for privacy. Code it with TensorFlow Federated. Guide here 👇

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Alex Nguyen •

Open Problems and Future Research Directions - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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Alex Nguyen •

Applications and Real-World Impact - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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Alex Nguyen •

Communication-Efficient Learning of Deep Networks from Decentralized Data: dev.to/alex-nguyen-duy-anh/communi...

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Alex Nguyen •

Fundamentals of Federated Learning (FL) - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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Alex Nguyen •

The Federated Averaging (FedAvg) Algorithm - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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Alex Nguyen •

Experimental Validation and Key Findings - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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Alex Nguyen •

Extensions and Methodological Advancements - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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Alex Nguyen •

Comprehensive Surveys and Reviews - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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Alex Nguyen •

Detailed Analysis of Communication Strategies - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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Challenges in Communication-Efficient FL - Communication-Efficient Learning of Deep Networks from Decentralized Data - By Alex Nguyen

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