2025 "convergence analysis" Papers
10 papers found
Accelerating Model-Free Optimization via Averaging of Cost Samples
Guido Carnevale, Giuseppe Notarstefano
NeurIPS 2025poster
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
Zikun Zhang, Zixiang Chen, Quanquan Gu
ICLR 2025posterarXiv:2410.02321
13
citations
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis et al.
ICLR 2025posterarXiv:2402.03448
4
citations
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
Shiyuan Zuo, Xingrun Yan, Rongfei Fan et al.
NeurIPS 2025posterarXiv:2408.09539
3
citations
Flow matching achieves almost minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe et al.
ICLR 2025posterarXiv:2405.20879
12
citations
Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
Michael Crawshaw, Blake Woodworth, Mingrui Liu
ICLR 2025posterarXiv:2501.13790
1
citations
Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping
Zijian Liu, Zhengyuan Zhou
ICLR 2025posterarXiv:2412.19529
23
citations
Online robust locally differentially private learning for nonparametric regression
Chenfei Gu, Qiangqiang Zhang, Ting Li et al.
NeurIPS 2025poster
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
Jiacai Liu, Wenye Li, Dachao Lin et al.
NeurIPS 2025posterarXiv:2311.01104
4
citations
SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts
Haoyuan Liang, Shilei Cao, Li et al.
NeurIPS 2025poster