Federated Learning

Asynchronous Federated Learning Hierarchical Federated Learning Memory Management Computational Heterogeneity Data Privacy Distributed Optimization Secure Aggregation Protocols Dataset Characteristics Security Mechanisms Gradient Leakage Clustered Federated Learning Dynamic Clustering Algorithms Fairness in Machine Learning Evaluation Tools Adversarial Attacks Semantic Heterogeneity Semi-Decentralized Federated Learning Internet of Vehicles Federated Fine-Tuning Fine-Tuning Techniques LoRA-FAIR SHeRL-FL Parameter-Efficient Fine-Tuning Federated Unlearning