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Zhihao Qu

Anchor Sampling for Federated Learning with Partial Client Participation
Mobility-aware Proactive Flow Setup in Software-Defined Mobile Edge Networks
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization
RuleDRL: Reliability-Aware SFC Provisioning with Bounded Approximations in Dynamic Environments
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression
Adaptive Vertical Federated Learning on Unbalanced Features
Heterogeneity-aware Gradient Coding for Tolerating and Leveraging Stragglers
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning
Adaptive Federated Learning on Non-IID Data with Resource Constraint
Partial Synchronization to Accelerate Federated Learning over Relay-Assisted Edge Networks
Intermittent Pulling with Local Compensation for Communication-Efficient Distributed Learning
Petrel: Heterogeneity- aware Distributed Deep Learning via Hybrid Synchronization
A Graph Learning based Approach for Identity Inference in DApp Platform Blockchain
A Learning-Based Incentive Mechanism for Federated Learning
Cooperative caching for multiple bitrate videos in small cell edges
Energy-aware Cost-effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks

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