ADANET: Autonomous Drones Assisted Internet of Things Networks, Oct. 2022 - Present

• I developed a new onboard deep reinforcement learning based federated learning for online resource allocation in privacy-preserving EdgeIoT. [code]

• I proposed a new shield defense against poisoning attacks on federated learning. [code]

• I implemented AGAT-based model poisoning attack on federated learning. [code] 

ARNET: Airborne Relaying Networks for Reliable and Secure Mobile Communications, Jan. 2020 - Sept. 2022 

• I proposed adversarial graph autoencoder (GAE)-based and variational graph autoencoder (VGAE)-based model poisoning  attacks against federated learning.

• I wrote codes   (VAE-based [code], GAE-based [code] and VGAE-based [code] model poisoning attacks on federated learning) in Python with PyToch and NetworkX libraries and conducted experiments.

CRUAV : The CMU | Portugal program, Jan. 2021 - Dec. 2021

• I proposed federated learning for energy-balanced client selection in mobile edge computing.

• I wrote codes in MATLAB and conducted experiments. [code]

• I visited CMU and joined SilverLine project.

PReFECT: Predictable Multiprocessor Platforms for Embedded Safety Critical Systems, Jan. 2019 - Dec. 2019

• I investigated the modelling and timing analysis of multicore processors.

• I wrote codes in C++ and conducted experiments.