Convergence Guarantee

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning

Authors: Maximilian Egger, Mayank Bakshi, Rawad Bitar | Published: 2025-01-31
Convergence Guarantee
Convergence Analysis
Communication Efficiency

Heterogeneous Multi-Player Multi-Armed Bandits Robust To Adversarial Attacks

Authors: Akshayaa Magesh, Venugopal V. Veeravalli | Published: 2025-01-21
Convergence Guarantee
Convergence Analysis
Communication Efficiency

Robust Q-Learning under Corrupted Rewards

Authors: Sreejeet Maity, Aritra Mitra | Published: 2024-09-05
Algorithm
Convergence Guarantee
Reinforcement Learning

Fast John Ellipsoid Computation with Differential Privacy Optimization

Authors: Jiuxiang Gu, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu | Published: 2024-08-12
Algorithm
Privacy Protection Method
Convergence Guarantee

Byzantine-Robust Gossip: Insights from a Dual Approach

Authors: Renaud Gaucher, Hadrien Hendrikx, Aymeric Dieuleveut | Published: 2024-05-06
Algorithm
Convergence Guarantee
Convergence Analysis

FedFisher: Leveraging Fisher Information for One-Shot Federated Learning

Authors: Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi | Published: 2024-03-19
Convergence Guarantee
Communication Efficiency
Federated Learning

Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates

Authors: Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo | Published: 2024-03-18 | Updated: 2024-06-04
Convergence Guarantee
Convergence Analysis
Optimization Problem

Shifted Interpolation for Differential Privacy

Authors: Jinho Bok, Weijie Su, Jason M. Altschuler | Published: 2024-03-01 | Updated: 2024-06-12
Privacy Protection Method
Convergence Guarantee
Loss Function

Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms

Authors: Ye Tian, Haolei Weng, Yang Feng | Published: 2023-10-23 | Updated: 2024-06-14
Model Design
Convergence Guarantee
Optimization Methods

ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations

Authors: Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen | Published: 2023-08-21 | Updated: 2024-05-22
Privacy Protection
Convergence Guarantee
Federated Learning