Communication and Computation Reduction for Split Learning using Asynchronous Training. - Xing Chen 009; Jingtao Li; Chaitali Chakrabarti (SiPS, 2021)

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. - Jingtao Li; Adnan Siraj Rakin; Xing Chen 009; Zhezhi He; Deliang Fan; Chaitali Chakrabarti (CVPR, 2022)

An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. - Jingtao Li; Jian Zhou 012; Yan Xiong 002; Xing Chen 009; Chaitali Chakrabarti (SiPS, 2022)

Energy and Loss-aware Selective Updating for SplitFed Learning with Energy Harvesting-Powered Devices. - Xing Chen 009; Jingtao Li; Chaitali Chakrabarti (J. Signal Process. Syst., 2022)

Model Extraction Attacks on Split Federated Learning. - Jingtao Li; Adnan Siraj Rakin; Xing Chen 009; Li Yang 009; Zhezhi He; Deliang Fan; Chaitali Chakrabarti (CoRR, 2023)

EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. - Jingtao Li; Xing Chen 009; Li Yang 009; Adnan Siraj Rakin; Deliang Fan; Chaitali Chakrabarti (AAAI, 2024)

PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs. - Xing Chen 009; Anish Krishnakumar; Ümit Y. Ogras; Chaitali Chakrabarti (J. Syst. Archit., 2024)

HeteroSFL: Split Federated Learning With Heterogeneous Clients and Non-IID Data. - Xing Chen 009; Jingtao Li; Deliang Fan; Chaitali Chakrabarti (IEEE Internet Things J., 2025)