Fed3D is a federated 3D object detection system using local-global class-aware loss for heterogeneity and prompt modules for low-bandwidth communication, claiming better performance than prior methods on limited local data.
Fine-tuning global model via data-free knowledge distillation for non-iid federated learning,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
FedRio is a new federated framework that outperforms standard federated baselines in social bot detection accuracy and efficiency while staying competitive with centralized models under stronger privacy constraints.
citing papers explorer
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Fed3D: Federated 3D Object Detection
Fed3D is a federated 3D object detection system using local-global class-aware loss for heterogeneity and prompt modules for low-bandwidth communication, claiming better performance than prior methods on limited local data.
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FedRio: Personalized Federated Social Bot Detection via Cooperative Reinforced Contrastive Adversarial Distillation
FedRio is a new federated framework that outperforms standard federated baselines in social bot detection accuracy and efficiency while staying competitive with centralized models under stronger privacy constraints.