Federated Learning (FL) is the privacy-preserving machine learning parad...
Federated learning (FL) systems are susceptible to attacks from maliciou...
Most work in privacy-preserving federated learning (FL) has been focusin...
Privacy-Preserving machine learning (PPML) can help us train and deploy
...
The majority of work in privacy-preserving federated learning (FL) has b...
The privacy-sensitive nature of decentralized datasets and the robustnes...
When the available hardware cannot meet the memory and compute requireme...
Federated Learning (FL) has emerged as a prospective solution that
facil...
Federated Learning (FL) allows edge devices to collaboratively learn a s...
Despite impressive results, deep learning-based technologies also raise
...
Federated Learning (FL) has emerged as a promising technique for edge de...
Despite the significant progress in automatic speech recognition (ASR),
...