52 citations · 82 across the 4 of their papers we have counts for
4 papers
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi +5
Advancements in wearable medical devices in IoT technology are shaping the modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT), we are witnessi…
Community-based Layerwise Distributed Training of Graph Convolutional Networks
Hongyi Li, Junxiang Wang, Yongchao Wang +2
The Graph Convolutional Network (GCN) has been successfully applied to many graph-based applications. Training a large-scale GCN model, however, is still challenging: Due to the no…
Communication Efficiency in Federated Learning: Achievements and Challenges
Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi +3
Federated Learning (FL) is known to perform Machine Learning tasks in a distributed manner. Over the years, this has become an emerging technology especially with various data prot…
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai, Yujing Chen, Ali Anwar +3
Federated learning (FL) involves training a model over massive distributed devices, while keeping the training data localized. This form of collaborative learning exposes new trade…