paper

Category - paper

2021

Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning

2021-05-19

Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

2021-05-17

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

Reliable Federated Learning for Mobile Networks

2021-05-15

Reliable Federated Learning for Mobile Networks

Active Federated Learning

2021-05-14

Active Federated Learning

Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching

2021-05-12

Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching

When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning

2021-05-09

When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning

FedMD: Heterogenous Federated Learning via Model Distillation

2021-05-07

FedMD: Heterogenous Federated Learning via Model Distillation

Multi-Center Federated Learning

2021-04-25

Multi-Center Federated Learning

Game of Gradients: Mitigating Irrelevant clients in Federated Learning

2021-04-22

Game of Gradients: Mitigating Irrelevant clients in Federated Learning

Federated Learning with Non-IID Data

2021-04-12

Federated Learning with Non-IID Data

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