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pro vyhledávání: '"Mrini, Abdellah El"'
Federated learning (FL) is an appealing paradigm that allows a group of machines (a.k.a. clients) to learn collectively while keeping their data local. However, due to the heterogeneity between the clients' data distributions, the model obtained thro
Externí odkaz:
http://arxiv.org/abs/2409.20329
Decentralized Gradient Descent (D-GD) allows a set of users to perform collaborative learning without sharing their data by iteratively averaging local model updates with their neighbors in a network graph. The absence of direct communication between
Externí odkaz:
http://arxiv.org/abs/2402.10001