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Yufeng Zhan

Tomtit: Scalable Hierarchical Federated Fine-Tuning for Giant Models
Multimodal Dual-embedding Networks for Malware Open-set Recognition
Chiron: A Robustness-aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning
Rethinking Personalized Client Collaboration in Federated Learning
Long-term Adaptive VCG Auction Mechanism for Sustainable Federated Learning with Periodical Client Shifting
Sustainable Federated Learning with Long-term Online VCG Auction Mechanism
CYCLE: Sustainable Off-Chain Payment Channel Network with Asynchronous Rebalancing
L4L: Experience-Driven Computational Resource Control in Federated Learning
Adaptive Federated Learning on Non-IID Data with Resource Constraint
Big Data Analytics by CrowdLearning: Architecture and Mechanism Design
A Deep Reinforcement Learning Based Offloading Game in Edge Computing
A Learning-Based Incentive Mechanism for Federated Learning
SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System

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