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
FedVision24
* *Federated Learning for Computer Vision
* FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
FedVision244
* Collaborative Visual Place Recognition through Federated Learning
* Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights
* On the Efficiency of Privacy Attacks in Federated Learning
FedVision25
* *Federated Learning for Computer Vision
* FedAlign: Federated Domain Generalization With Cross-Client Feature Alignment
* FedCAPR:Federated Camera-Aware Unsupervised Person Re-Identification with Identity-Distributed Equalization for Decentralized Data Clustering
* FedCIAL: Federated Color-Invariant Adversarial Learning for Enhancing Fairness and Performance in Skin Lesion Classification
* FedDG-MoE: Test-Time Mixture-of-Experts Fusion for Federated Domain Generalization
* FedSECA: Sign Election and Coordinate-Wise Aggregation of Gradients for Byzantine Tolerant Federated Learning
* Forget Less, Learn More: Contrastive-Based Federated Class Incremental Learning with a Low-Dimensional Projection Layer
* GPT-FL: Generative Pre-Trained Model-Assisted Federated Learning
* Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
9 for FedVision25