PAIGE: towards a hybrid-edge design for privacy-preserving intelligent personal assistants. - Yilei Liang; Dan O'Keeffe; Nishanth Sastry (EdgeSys@EuroSys, 2020)

Federated split GANs. - Pranvera Kortoçi; Yilei Liang; Pengyuan Zhou; Lik-Hang Lee; Abbas Mehrabi; Pan Hui 001; Sasu Tarkoma; Jon Crowcroft (FedEdge@MobiCom, 2022)

Efficient federated learning under non-IID conditions with attackers. - Huan Zou; Yuchao Zhang; Xirong Que; Yilei Liang; Jon Crowcroft (FedEdge@MobiCom, 2022)

Four-Stream Network and Nonsignificant Feature Learning for Visible-Infrared Person Re-Identification. - Yilei Liang; Hua Han 002; Li Huang; Chunyuan Wang (Int. J. Pattern Recognit. Artif. Intell., 2022)

Federated split GANs for collaborative training with heterogeneous devices. - Yilei Liang; Pranvera Kortoçi; Pengyuan Zhou; Lik-Hang Lee; Abbas Mehrabi; Pan Hui 001; Sasu Tarkoma; Jon Crowcroft (Softw. Impacts, 2022)

FedCOM: Efficient Personalized Federated Learning by Finding Your Best Peers. - Xintong Lu; Yuchao Zhang; Huan Zou; Yilei Liang; Wendong Wang 003; Jon Crowcroft (FedEdge@MobiCom, 2023)

Efficient Model Compression Techniques with FishLeg. - Jamie McGowan; Wei Sheng Lai; Weibin Chen; Henry Aldridge; Jools Clarke; Jezabel Garcia; Rui Xia; Yilei Liang; Guillaume Hennequin; Alberto Bernacchia (CoRR, 2024)

A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT. - Kai Li 002; Yilei Liang; Xin Yuan 004; Wei Ni 001; Jon Crowcroft; Chau Yuen; Özgür B. Akan (IEEE Netw. Lett., 2025)