Co-occurring keywords · papers mentioning both
Papers
EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
ICLR 2025
HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training
ICML 2025
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
AISTATS 2025
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
NeurIPS 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
COLT 2024
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
ICML 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
ICML 2023
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization
NeurIPS 2023
Why (and When) does Local SGD Generalize Better than SGD?
ICLR 2023
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
ICLR 2022
Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time
AISTATS 2022
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
ICLR 2022
ResIST: Layer-wise decomposition of ResNets for distributed training
UAI 2022
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
AISTATS 2022
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
ICML 2021
Communication-efficient SGD: From Local SGD to One-Shot Averaging
NeurIPS 2021
Local SGD: Unified Theory and New Efficient Methods
AISTATS 2021
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
ICLR 2021
On the Convergence of Communication-Efficient Local SGD for Federated Learning
AAAI 2021
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period
AAAI 2021
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates
ICML 2020
Don't Use Large Mini-batches, Use Local SGD
ICLR 2020
From Local SGD to Local Fixed-Point Methods for Federated Learning
ICML 2020
Is Local SGD Better than Minibatch SGD?
ICML 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
NeurIPS 2020