Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge-Reference-Cited by-同舟云学术

Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

Author:

Qayyum Adnan¹^ORCID,Ahmad Kashif²^ORCID,Ahsan Muhammad Ahtazaz¹,Al-Fuqaha Ala³^ORCID,Qadir Junaid⁴^ORCID

Affiliation:

1. Information Technology University, Lahore, Pakistan

2. Department of Computer Science, Munster Technological University, Cork, Ireland

3. Information and Computing Technology Division, College of Science and Engineering (CSE), Hamad Bin Khalifa University, Doha, Qatar

4. Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, Qatar

Funder

NPRP

Qatar National Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Strategy and Management,Mechanical Engineering

Link

Reference69 articles.

4. Differentially private meta-learning;li;Proc Int Conf Learn Representations,0

5. On the convergence of FedAvg on non-IID data;li,2019

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