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07/26/2023
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
Vision-language pre-training (VLP) models have shown vulnerability to ad...
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07/25/2023
Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization
The stochastic compositional minimax problem has attracted a surge of at...
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06/06/2023
Stochastic Multi-Level Compositional Optimization Algorithms over Networks with Level-Independent Convergence Rate
Stochastic multi-level compositional optimization problems cover many ne...
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06/05/2023
When Decentralized Optimization Meets Federated Learning
Federated learning is a new learning paradigm for extracting knowledge f...
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04/24/2023
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems?
Decentralized minimax optimization has been actively studied in the past...
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04/20/2023
Federated Compositional Deep AUC Maximization
Federated learning has attracted increasing attention due to the promise...
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12/06/2022
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
Minimax optimization problems have attracted significant attention in re...
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06/30/2022
Stochastic Bilevel Distributed Optimization over a Network
Bilevel optimization has been applied to a wide variety of machine learn...
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04/28/2022
On the Convergence of Momentum-Based Algorithms for Federated Stochastic Bilevel Optimization Problems
In this paper, we studied the federated stochastic bilevel optimization ...
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08/24/2020
Periodic Stochastic Gradient Descent with Momentum for Decentralized Training
Decentralized training has been actively studied in recent years. Althou...
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08/24/2020
