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Federated Learning (FL) is a privacy-preserving way to utilize the sensitive data generated by smart sensors of user devices, where a central parameter server (PS) coordinates multiple user devices to train a global model. mesin ps 135 However, relying on centralized topology poses challenges when applying FL in a sensors network, including imbalanced communication congestion and possible single point of . harga ps 3 bekas 500gb