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cs.LG2026
FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning
Van Truong Vo, Khoa Nguyen, Taehong Kim
Decentralized intelligence systems with heterogeneous devices and limited coordination increasingly rely on decentralized federated learning (DFL). However, DFL suffers from conver…
cs.LG2024
Solving Nonlinear Energy Supply and Demand System Using Physics-Informed Neural Networks
Van Truong Vo, Samad Noeiaghdam, Denis Sidorov +2
Nonlinear differential equations and systems play a crucial role in modeling systems where time-dependent factors exhibit nonlinear characteristics. Due to their nonlinear nature,…