Search Results for author: Rongfei Fan

Found 8 papers, 1 papers with code

Byzantine-resilient Federated Learning With Adaptivity to Data Heterogeneity

no code implementations20 Mar 2024 Shiyuan Zuo, Xingrun Yan, Rongfei Fan, Han Hu, Hangguan Shan, Tony Q. S. Quek

This paper deals with federated learning (FL) in the presence of malicious Byzantine attacks and data heterogeneity.

Federated Learning

Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

no code implementations23 Dec 2023 Yifeng Lyu, Han Hu, Rongfei Fan, Zhi Liu, Jianping An, Shiwen Mao

To address these challenges, we study packet routing with ground stations and satellites working jointly to transmit packets, while prioritizing fast communication and meeting energy efficiency and packet loss requirements.

Multi-agent Reinforcement Learning

Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap

no code implementations21 Aug 2023 Shiyuan Zuo, Rongfei Fan, Han Hu, Ning Zhang, Shimin Gong

In this paper, we propose a robust aggregation method for federated learning (FL) that can effectively tackle malicious Byzantine attacks.

Federated Learning

Over-the-Air Computation Aided Federated Learning with the Aggregation of Normalized Gradient

no code implementations17 Aug 2023 Rongfei Fan, Xuming An, Shiyuan Zuo, Han Hu

In case of smooth and strongly convex loss function, we prove our proposed method can achieve minimal training loss at linear rate with any small positive tolerance.

Federated Learning

Joint Power Control and Data Size Selection for Over-the-Air Computation Aided Federated Learning

1 code implementation17 Aug 2023 Xuming An, Rongfei Fan, Shiyuan Zuo, Han Hu, Hai Jiang, Ning Zhang

For parameter aggregating in FL, over-the-air computation is a spectrum-efficient solution, which allows all mobile devices to transmit their parameter-mapped signals concurrently to a BS.

Federated Learning

Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency

no code implementations23 Oct 2021 Xuming An, Rongfei Fan, Han Hu, Ning Zhang, Saman Atapattu, Theodoros A. Tsiftsis

To solve this challenging problem, we decompose it as a one-dimensional search of task offloading decision problem and a non-convex optimization problem with task offloading decision given.

Edge-computing

Joint Task Offloading and Resource Allocation for IoT Edge Computing with Sequential Task Dependency

no code implementations25 Nov 2020 Xuming An, Rongfei Fan, Han Hu, Ning Zhang, Saman Atapattu, Theodoros A. Tsiftsis

To solve this challenging problem, we decompose it as a one-dimensional search of task offloading decision problem and a non-convex optimization problem with task offloading decision given.

Edge-computing Information Theory Information Theory

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