conftrace_

non-iid datum

109 papers

Explore in graph

Co-occurring keywords

federated learning (1333) model aggregation (156) personalized model (89) knowledge distillation (3725) distributed learning (563) domain adaptation (4595) data heterogeneity (115) privacy preservation (380) convergence analysis (395) client selection (23)

Papers

Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract) AAAI 2022
FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates AAAI 2022
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022
Generalized Federated Learning via Sharpness Aware Minimization ICML 2022
FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022
Federated Learning with Partial Model Personalization ICML 2022
Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning CVPR 2022
Causal Inference with Non-IID Data using Linear Graphical Models NIPS 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing NIPS 2022
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022
CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning CVPR 2022
Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness NIPS 2022
Respecting Transfer Gap in Knowledge Distillation NIPS 2022
RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022
Pretrained Models for Multilingual Federated Learning NAACL 2022
Decoupled Federated Learning for ASR with Non-IID Data INTERSPEECH 2022
Towards Flexible Device Participation in Federated Learning AISTATS 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NIPS 2021
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment ICCV 2021
Learning with Group Noise AAAI 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
Addressing Class Imbalance in Federated Learning AAAI 2021