2 citations · 3 across the 3 of their papers we have counts for
3 papers
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks
S. Kawa Atapour, S. Jamal SeyedMohammadi, S. Mohammad Sheikholeslami +3
Recently pre-trained Foundation Models (FMs) have been combined with Federated Learning (FL) to improve training of downstream tasks while preserving privacy. However, deploying FM…
KnFu: Effective Knowledge Fusion
S. Jamal Seyedmohammadi, S. Kawa Atapour, Jamshid Abouei +1
Federated Learning (FL) has emerged as a prominent alternative to the traditional centralized learning approach. Generally speaking, FL is a decentralized approach that allows for…
FedD2S: Personalized Data-Free Federated Knowledge Distillation
Kawa Atapour, S. Jamal Seyedmohammadi, Jamshid Abouei +2
This paper addresses the challenge of mitigating data heterogeneity among clients within a Federated Learning (FL) framework. The model-drift issue, arising from the noniid nature…