FedVision22
* *Federated Learning for Computer Vision
* Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning
* Communication-Efficient Federated Data Augmentation on Non-IID Data
* Does Federated Dropout actually work?
* MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients
FedVision23
* *Federated Learning for Computer Vision
* Asynchronous Federated Continual Learning
* Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
* Many-Task Federated Learning: A New Problem Setting and A Simple Baseline
* Mixed Quantization Enabled Federated Learning to Tackle Gradient Inversion Attacks
* OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
* TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
7 for FedVision23