Co-occurring keywords · papers mentioning both
Papers
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
CVPR 2025
Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
ICLR 2025
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
ICML 2025
PDUDT: Provable Decentralized Unlearning under Dynamic Topologies
ICML 2025
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
ICML 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
NeurIPS 2024
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
NeurIPS 2021
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication
COLT 2021
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization
NeurIPS 2020
Distributed PageRank Computation: An Improved Theoretical Study
AAAI 2019
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
NeurIPS 2019
Communication Complexity of Distributed Convex Learning and Optimization
NeurIPS 2015