AdaDP-CFL: Cluster Federated Learning with Adaptive Clipping Threshold Differential Privacy
T Yang, X Ma - 2024 IEEE/ACM 32nd International Symposium …, 2024 - ieeexplore.ieee.org
Federated learning is a distributed machine learning approach that enables multiple clients
to train models collaboratively. As its data remains stored locally on each client, this …
to train models collaboratively. As its data remains stored locally on each client, this …
TrustNetFL: Enhancing Federated Learning with Trusted Client Aggregation for Improved Security
Federated Learning (FL) has emerged as a promising approach for training machine
learning models across individual devices while preserving data privacy. However, FL faces …
learning models across individual devices while preserving data privacy. However, FL faces …