Wei Bao

University of Sydney

Australia

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Articles (14)

A Unifying Probabilistic Framework for Partially Labeled Data Learning

Year:

2023

ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning

Year:

2023

DNN Surgery: Accelerating DNN Inference on the Edge through Layer Partitioning

Year:

2023

Distributed Online Multi-Label Learning with Privacy Protection in Internet of Things

Year:

2023

Federated Learning With Nesterov Accelerated Gradient

Year:

2022

FastSlowMo: Federated Learning With Combined Worker and Aggregator Momenta

Year:

2022

Generalized Large Margin $k$NN for Partial Label Learning

Year:

2022

Generalized Large Margin $k$NN for Partial Label Learning

Year:

2022

Asynchronous Semi-Supervised Federated Learning with Provable Convergence in Edge Computing

Year:

2022

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning

Year:

2022

eDeepSave: Saving DNN Inference using Early Exit During Handovers in Mobile Edge Environment

Year:

2021

Discriminative Metric Learning for Partial Label Learning

Year:

2021

Top-k Partial Label Machine

Year:

2021

Prune and Plant: Efficient Placement and Parallelism of Virtual Network Functions

Year:

2020

Collaborators (2)

Dong Yuan

University of Sydney

AUSTRALIA

Nguyen H. Tran

University of Sydney

AUSTRALIA

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