Summary of Online Mirror Descent For Tchebycheff Scalarization in Multi-objective Optimization, by Meitong Liu et al.
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimizationby Meitong Liu, Xiaoyuan Zhang, Chulin Xie,…
Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimizationby Meitong Liu, Xiaoyuan Zhang, Chulin Xie,…
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuningby Pouya M.…
Federated Time Series Generation on Feature and Temporally Misaligned Databy Chenrui Fan, Zhi Wen Soi,…
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Databy Saptarshi Chakraborty, Peter L.…
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusionby Zhenheng Tang,…
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocationby Zhichao Wang, Lin Wang, Yongxin Guo,…
A New Perspective to Boost Performance Fairness for Medical Federated Learningby Yunlu Yan, Lei Zhu,…
Privacy-Preserving Federated Learning via Dataset Distillationby ShiMao Xu, Xiaopeng Ke, Xing Su, Shucheng Li, Hao…
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Servicesby Hongjia Wu, Hui Zeng, Zehui…
Equitable Federated Learning with Activation Clusteringby Antesh Upadhyay, Abolfazl HashemiFirst submitted to arxiv on: 24…