Home
Research
People
Publications
Demos
News
Workshops
Gallery
Light
Dark
Automatic
Laizhong Cui
Latest
Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression
Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources
Fast-Convergent Wireless Federated Learning: A Voting Based Topk Model Compression Approach
An Optimized Sparse Response Mechanism for Differentially Private Federated Learning
Cite
×