distributed optimization 1distributionally robust optimization 1dynamic optimal transport 1linearized admm 1memory-efficient algorithms 1minimax 1nonconvex-nonconcave 1numerical stability 1smoothing methods 1stochastic optimization 1
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cs.LG2026
LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication
Wei Liu, Anweshit Panda, Ujwal Pandey +5
In the decentralized distributed learning, achieving fast convergence and low communication cost is essential for scalability and high efficiency. Adaptive gradient methods, such a…
cs.LG2025
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
Wei Liu, Anweshit Panda, Ujwal Pandey +6
In this paper, we design two compressed decentralized algorithms for solving nonconvex stochastic optimization under two different scenarios. Both algorithms adopt a momentum techn…