Abstract: Federated Learning (FL) allows cooperative model training without the exchange of raw information, which makes it suitable in the privacy-intensive distributed setting. Nonetheless, ...
Abstract: Federated learning enables participants to collaboratively train a global model through distributed training without sharing raw data. However, this distributed training is vulnerable to ...
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