Abstract: Federated learning is an effective method to train a machine learning model without requiring to aggregate the potentially sensitive data of agents in a central server. However, the limited ...
Abstract: This study addresses the 0-1 Knapsack Problem (KP), a classic variant of knapsack problems, using the Simulated Annealing (SA) algorithm. The 0-1 KP, an NP-hard problem, involves selecting ...
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