Browsing Computer Science & Engineering by Subject "Federated Learning"
Now showing items 1-3 of 3
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BPFL: A Blockchain Based Privacy-Preserving Federated Learning Scheme
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Federated Learning (FL), which allows multiple participants to co-train machine Learning models without exposing local data, has been recognized as a promising method in the past few years. However, in the FL process, the ... -
Federated Learning Stability Under Byzantine Attacks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Federated Learning (FL) is a machine learning approach that enables private and decentralized model training. Although FL has been shown to be very useful in several applications, its privacy constraints cause a lack of ... -
Robust Decentralized Federated Learning Using Collaborative Decisions
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Federated Learning (FL) has attracted a lot of attention in numerous applications due to recent data privacy regulations and increased awareness about data handling issues, combined with the ever-increasing big-data sizes. ...