1 citations · 1 across the 2 of their papers we have counts for
4 papers
Robust Federated Learning with Noisy Communication
Fan Ang, Li Chen, Nan Zhao +3
Federated learning is a communication-efficient training process that alternates between local training at the edge devices and averaging the updated local model at the central ser…
Computing and Communicating Functions in Disorganized Wireless Networks
Fangzhou Wu, Li Chen, Nan Zhao +3
For future wireless networks, enormous numbers of interconnections are required, creating a disorganized topology and leading to a great challenge in data aggregation. Instead of c…
Computation Over NOMA: Improved Achievable Rate Through Sub-Function Superposition
Fangzhou Wu, Li Chen, Nan Zhao +3
Massive numbers of nodes will be connected in future wireless networks. This brings great difficulty to collect a large amount of data. Instead of collecting the data individually,…
Computation over Wide-Band MAC: Improved Achievable Rate through Sub-Function Allocation
Fangzhou Wu, Li Chen, Nan Zhao +3
Future networks are expected to connect an enormous number of nodes wirelessly using wide-band transmission. This brings great challenges. To avoid collecting a large amount of dat…