WebFeb 14, 2024 · Exploiting Shared Representations for Personalized Federated Learning. Deep neural networks have shown the ability to extract universal feature representations from data such as images and text that have been useful for a variety of learning tasks. However, the fruits of representation learning have yet to be fully-realized in federated … WebDec 2, 2024 · Federated Learning with Personalization Layers. Manoj Ghuhan Arivazhagan, Vinay Aggarwal, Aaditya Kumar Singh, Sunav Choudhary. The emerging paradigm of federated learning strives to enable collaborative training of machine learning models on the network edge without centrally aggregating raw data and hence, …
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Papers from Criteos at NeurIPS (x 7), TMLR - Criteo AI Lab
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