Refl: Resource-efficient federated learning
AM Abdelmoniem, AN Sahu, M Canini… - Proceedings of the …, 2023 - dl.acm.org
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …
Resource-Efficient Federated Learning
AM Abdelmoniem, AN Sahu, M Canini… - Federated Learning and … - openreview.net
Federated Learning (FL) is a distributed training paradigm that avoids sharing the users'
private data. FL has presented unique challenges in dealing with data, device and user …
private data. FL has presented unique challenges in dealing with data, device and user …
[PDF][PDF] REFL: Resource-Efficient Federated Learning
AM Abdelmoniem, AN Sahu, M Canini, SA Fahmy - 2023 - sands.kaust.edu.sa
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …
[PDF][PDF] REFL: Resource-Efficient Federated Learning
AM Abdelmoniem, AN Sahu, M Canini, SA Fahmy - 2023 - accl.kaust.edu.sa
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …
[PDF][PDF] REFL: Resource-Efficient Federated Learning
AM Abdelmoniem, AN Sahu, M Canini, SA Fahmy - 2023 - mcanini.github.io
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …
[PDF][PDF] REFL: Resource-Efficient Federated Learning
AM Abdelmoniem, AN Sahu, M Canini, SA Fahmy - 2023 - researchgate.net
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …
Resource-Efficient Federated Learning
AM Abdelmoniem, AN Sahu, M Canini… - arXiv preprint arXiv …, 2021 - arxiv.org
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …
Resource-Efficient Federated Learning
AM Abdelmoniem, A Narayan Sahu, M Canini… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …
REFL: Resource-Efficient Federated Learning
AM Abdelmoniem - mobiuk.org
Recently distributed machine learning (ML) deployments have sought to push computation
towards data sources in an effort to enhance privacy and security. Training models using this …
towards data sources in an effort to enhance privacy and security. Training models using this …
[PDF][PDF] RESOURCE-EFFICIENT FEDERATED LEARNING
AM Abdelmoniem, AN Sahu, M Canini, SA Fahmy - researchgate.net
Federated Learning (FL) enables distributed training by learners using local data, thereby
enhancing privacy and reducing communication. However, it presents numerous challenges …
enhancing privacy and reducing communication. However, it presents numerous challenges …