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pro vyhledávání: '"Jeter, Tre' R."'
With the rapid adoption of Federated Learning (FL) as the training and tuning protocol for applications utilizing Large Language Models (LLMs), recent research highlights the need for significant modifications to FL to accommodate the large-scale of
Externí odkaz:
http://arxiv.org/abs/2403.04784
Federated Learning (FL) has garnered significant attention for its potential to protect user privacy while enhancing model training efficiency. For that reason, FL has found its use in various domains, from healthcare to industrial engineering, espec
Externí odkaz:
http://arxiv.org/abs/2311.13739
Despite the great potential of Federated Learning (FL) in large-scale distributed learning, the current system is still subject to several privacy issues due to the fact that local models trained by clients are exposed to the central server. Conseque
Externí odkaz:
http://arxiv.org/abs/2205.05611