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Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning
Federated continual learning (FCL) learns incremental tasks over time from confidential datasets distributed across clients.
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning
Moreover, to improve data efficiency and provide better generalization performance, we train the policy model with augmented data (e. g., noisy BSM and noisy surveillance images).
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