data heterogeneity

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022 TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NeurIPS 2022 Towards Model Agnostic Federated Learning Using Knowledge Distillation ICLR 2022 Towards Understanding Biased Client Selection in Federated Learning AISTATS 2022 Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning ICML 2022 Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021 Model-Contrastive Federated Learning CVPR 2021 Personalized Federated Learning with First Order Model Optimization ICLR 2021 Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data ICML 2021 Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States AAAI 2020 Tighter Theory for Local SGD on Identical and Heterogeneous Data AISTATS 2020 Learning from Data Heterogeneity: Algorithms and Applications IJCAI 2017