Zhihao Qu

Latest

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
Intermittent Pulling with Local Compensation for Communication-Efficient Distributed Learning
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoTs
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning
Partial Synchronization to Accelerate Federated Learning over Relay-Assisted Edge Networks
Adaptive Federated Learning on Non-IID Data with Resource Constraint
Incentive Mechanism Design for Federated Learning: Challenges and Opportunities
Incentive Mechanism Design for Federated Learning: Challenges and Opportunities
On-device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective
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