Federated learning for privacy-preserving sentiment analysis on distributed data – Complete Phd and Masters Thesis
[ad_1] Introduction Federated learning has emerged as a promising approach for collaborative machine learning on distributed data without the need to centralize data in a single location. This has significant implications in scenarios where data…
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