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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Jia-Wei Liao

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Conference Aug 2026

FedKGD: Federated Knowledge-Generating Distillation for Heterogeneous Reinforcement Learning

Federated Reinforcement Learning (FedRL) improves sample efficiency while preserving privacy; however, most existing studies assume homogeneous agents or utilize public datasets for knowledge distillation to address agent heterogeneity, which limits its applicability in real-world heterogeneous scenarios. Knowledge dis...

Jia-Wei Liao, Xuan-He Yu, Qi-Yuan Xiao · 0 citations
Conference Aug 2026

Dual Knowledge Distillation for Heterogeneous Federated Continual Learning

Federated Continual Learning (FCL) enables distributed clients to collaboratively learn a sequence of tasks while preserving data privacy and mitigating catastrophic forgetting. However, most existing FCL methods rely on the assumption that all clients share an identical model architecture, which is impractical in real...

Pei-Yi Zeng, Shu-Ming Yang, Jia-Wei Liao et al. · 0 citations

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