10 citations · 26 across the 9 of their papers we have counts for
3 papers · 1 filter
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
Mustafa Safa Ozdayi, Murat Kantarcioglu
Federated Learning (FL) is a distributed machine learning protocol that allows a set of agents to collaboratively train a model without sharing their datasets. This makes FL partic…
Improving Accuracy of Federated Learning in Non-IID Settings
Mustafa Safa Ozdayi, Murat Kantarcioglu, Rishabh Iyer
Federated Learning (FL) is a decentralized machine learning protocol that allows a set of participating agents to collaboratively train a model without sharing their data. This mak…
Defending against Backdoors in Federated Learning with Robust Learning Rate
Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel
Federated learning (FL) allows a set of agents to collaboratively train a model without sharing their potentially sensitive data. This makes FL suitable for privacy-preserving appl…