"distributed optimization" Papers

19 papers found

Computation and Memory-Efficient Model Compression with Gradient Reweighting

Zhiwei Li, Yuesen Liao, Binrui Wu et al.

NeurIPS 2025poster

Connecting Federated ADMM to Bayes

Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez

ICLR 2025posterarXiv:2501.17325
4
citations

Graph Neural Networks Gone Hogwild

Olga Solodova, Nick Richardson, Deniz Oktay et al.

ICLR 2025posterarXiv:2407.00494
1
citations

Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression

Michael Crawshaw, Blake Woodworth, Mingrui Liu

ICLR 2025posterarXiv:2501.13790
1
citations

A New Theoretical Perspective on Data Heterogeneity in Federated Optimization

Jiayi Wang, Shiqiang Wang, Rong-Rong Chen et al.

ICML 2024poster

A Primal-Dual Algorithm for Hybrid Federated Learning

Tom Overman, Garrett Blum, Diego Klabjan

AAAI 2024paperarXiv:2210.08106
9
citations

A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle

Nadav Hallak, Kfir Levy

ICML 2024poster

Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients

Mengmeng Ma, Tang Li, Xi Peng

ICML 2024poster

Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates

Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui et al.

ICML 2024poster

Distributed Bilevel Optimization with Communication Compression

Yutong He, Jie Hu, Xinmeng Huang et al.

ICML 2024poster

Faster Adaptive Decentralized Learning Algorithms

Feihu Huang, jianyu zhao

ICML 2024spotlight

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update

Ji Liu, Juncheng Jia, Tianshi Che et al.

AAAI 2024paperarXiv:2312.05770
71
citations

Federated Optimization with Doubly Regularized Drift Correction

Xiaowen Jiang, Anton Rodomanov, Sebastian Stich

ICML 2024poster

High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise

Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova et al.

ICML 2024poster

LASER: Linear Compression in Wireless Distributed Optimization

Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels et al.

ICML 2024poster

Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!

Milad Sefidgaran, Romain Chor, Abdellatif Zaidi et al.

ICML 2024poster

On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition

Yunyan Bai, Yuxing Liu, Luo Luo

ICML 2024spotlight

Reweighted Solutions for Weighted Low Rank Approximation

David Woodruff, Taisuke Yasuda

ICML 2024poster

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai YANG

AAAI 2024paperarXiv:2401.11409
4
citations