ICML 2024 "decentralized optimization" Papers

6 papers found

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Conference

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Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers

Yuxing Liu, Lesi Chen, Luo Luo

ICML 2024poster

Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods

Hao Di, Haishan Ye, Xiangyu Chang et al.

ICML 2024poster

Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm

Batiste Le Bars, Aurélien Bellet, Marc Tommasi et al.

ICML 2024poster

Learning from Streaming Data when Users Choose

Jinyan Su, Sarah Dean

ICML 2024poster

Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy

Ziqin Chen, Yongqiang Wang

ICML 2024poster

Stochastic Optimization with Arbitrary Recurrent Data Sampling

William Powell, Hanbaek Lyu

ICML 2024poster