federated learning

1320 papers

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Also known as

FCL FGL FL FL OR NULL FEDMD FEDA AFL PPFL PFL FEDDG FHGL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

Fast Federated Machine Unlearning with Nonlinear Functional Theory ICML 2023

Personalized Subgraph Federated Learning ICML 2023

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023

STDLens: Model Hijacking-Resilient Federated Learning for Object Detection CVPR 2023

Game-theoretic Mechanisms for Eliciting Accurate Information IJCAI 2023

Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion IJCAI 2023

Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023

Fair Federated Medical Image Segmentation via Client Contribution Estimation CVPR 2023

FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023

Bayesian Federated Learning: A Survey IJCAI 2023

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023

Decentralized Learning With Multi-Headed Distillation CVPR 2023

FedSampling: A Better Sampling Strategy for Federated Learning IJCAI 2023

DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023

Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023

FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023

Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023

FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023

GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023

FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning CVPR 2023

Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023

FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023