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cs.LG2025
Alada: Alternating Adaptation of Momentum Method for Memory-Efficient Matrix Optimization
Xiaoyu He, Yu Cai, Jin Jia +3
This work proposes Alada, an adaptive momentum method for stochastic optimization over large-scale matrices. Alada employs a rank-one factorization approach to estimate the second…
cs.LG2024
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
Chenlin Wu, Xiaoyu He, Zike Li +2
Federated learning heavily relies on distributed gradient descent techniques. In the situation where gradient information is not available, the gradients need to be estimated from…