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Vahid Tarokh — most-cited papers & profile · Federated Learning
← authors
·
overview
Vahid Tarokh
16
papers ·
237
citations ·
64
h-index
Duke University · Duke Energy (United States)
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Most-cited papers
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
2020 · 179 citations
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
2021 · 37 citations
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
2024
Top co-authors
Enmao Diao
· 3
Jie Ding
· 2
Ali Anwar
· 1
Jie Ding
· 1
Qi Le
· 1
Xinran Wang
· 1
Topics
Federated Learning
Communication
Optimization
Data Heterogeneity