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Multi-agent Actor-Critic Reinforcement Learning Based In-network Load Balance

Offloading Federated Learning Task to Edge Computing with Trust Execution Environment

Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework

SkyChain: A Deep Reinforcement Learning-Empowered Dynamic Blockchain Sharding System

Why Queue Up? Fast Parallel Search of RFID Tags for Multiple Users

A cyclic game for joint cooperation and competition of edge resource allocation

Deep reinforcement learning based VNF management in geo-distributed edge computing

Falcon: Towards computation-parallel deep learning in heterogeneous parameter server

Heterogeneity-aware gradient coding for straggler tolerance

Service Demand Prediction with Incomplete Historical Data