5 citations · 7 across the 8 of their papers we have counts for
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eess.SY2022★ 2 cited
Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems
Jun Du, Bingqing Jiang, Chunxiao Jiang +2
To satisfy the expected plethora of computation-heavy applications, federated edge learning (FEEL) is a new paradigm featuring distributed learning to carry the capacities of low-l…
eess.SP2022
Convergence Theory of Generalized Distributed Subgradient Method with Random Quantization
Zhaoyue Xia, Jun Du, Yong Ren
The distributed subgradient method (DSG) is a widely discussed algorithm to cope with large-scale distributed optimization problems in the arising machine learning applications. Mo…
eess.SY2022
Underwater Differential Game: Finite-Time Target Hunting Task with Communication Delay
Wei Wei, JingJing Wang, Jun Du +3
This work considers designing an unmanned target hunting system for a swarm of unmanned underwater vehicles (UUVs) to hunt a target with high maneuverability. Differential game the…