- PhD Candidate
- CCIE#50441
- Licensed Private Pilot (with Instrument Rating)
Biography
Update: PhD viva (defense) Passed on 23th May 2025
I am a final year PhD candidate in the Department of Computer Science and Technology, University of Cambridge. I received my Bachelor Degree in Computer Science from King's College London in 2020. I also spent a year at ETH Zurich for MSc but withdrawn and come to Cambridge for PhD in 2021. I am also CCIE certified in Routing and Switching (with some knowledge in Data Center and Security).
My name in Chinese is 梁燚磊
Working Experiences
- 2024.07 - 2024.09: Algorithm Research Intern @ Huawei
- 2023.04 - 2023.08: Deep Learning Research Intern @ MediaTek Research UK
Research Visit
- 2025.01 - 2025.04: Visiting Scholar@National Institute of Informatics at Tokyo, Japan (with Prof. Yusheng Ji)
- 2024.10 - 2024.12: Visiting Scholar@Department of Electrical & Computer Engineering of Aarhus University
Hobby
- Rhythm Game
- Flying an aeroplane (Licensed Private Pilot@Cambridge Aero Club)
- Research (Yes :))
Languages
- Chinese (Both Mandarin and Cantonese, Native Speaker)
- English (Full Working Proficiency)
- Japanese (Working Proficiency, JLPT N1, CEFR C1)
- German (Elementary Proficiency)
- Danish (Elementary Proficiency)
Research
Federated Learning, Networking
Teaching
- 2023-24
- 2022-23
- Before Cambridge
- 2019.08 - 2019.12: Teaching Assistant @ King's College London
- Internet System (5CCS2INS)
- 2019.08 - 2019.12: Teaching Assistant @ King's College London
Professional Activities
Academic Services
- FLEdge-AI 2025 (FedEdge + FLEAM) Web Chair
- ICCC 2025 Technical Program Committee
- MeditCom 2025 Reviewer
- MobiArch 2024 Technical Program Committee
- FedEdge 2024 Web Chair
- ASPLOS 2024 Artifact Evaluation Committee
- OSDI 2023 Artifact Evaluation Committee
- USENIX ATC 2023 Artifact Evaluation Committee
- FedEdge 2023 Web Chair
- IEEE Network Magazine External Reviewer
- EuroSys 2023 Artifact Evaluation Committee
- FedEdge 2022 Web Chair
- EuroSys 2022 Shadow Committee
Publications
- Efficient Model Compression Techniques with FishLeg (Compression Workshop@NeurIPS 2024, Jamie McGowan, Wei Sheng Lai, Weibin Chen, Henry Aldridge, Jools Clarke, Jezabel R Garcia, Rui Xia, Yilei Liang, Guillaume Hennequin, Alberto Bernacchia) [Paper]. -- Work done@MediaTek Research
- A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT (Accepted to IEEE Networking Letter, Kai Li, Yilei Liang, Xin Yuan, Wei Ni, Jon Crowcroft, Chau Yuen, Ozgur B Akan) [Paper]
- FedCOM: Efficient Personalized Federated Learning by Finding Your Best Peers (FedEdge 2023, Xintong Lu, Yuchao Zhang, Huan Zou, Yilei Liang, Wendong Wang, Jon Crowcroft) --- In conjunction with ACM Mobicom 2022. [Paper]
- Federated Split GANs for collaborative training with heterogeneous devices (Software Impact, Invited Paper, Yilei Liang, Pranvera Kortoçi Pengyuan Zhou, Lik-Hang Lee, Abbas Mehrabi, Pan Hui, Sasu Tarkoma, Jon Crowcroft) [Paper]
- Efficient Federated Learning Under Non-IID Conditions With Attackers (FedEdge 2022, Huan Zou, Yuchao Zhang, Xirong Que, Yilei Liang, Jon Crowcroft) --- In conjunction with ACM Mobicom 2022. [Paper]
- Federated Split GANs (FedEdge 2022, Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou, Lik-Hang Lee, Abbas Mehrabi, Pan Hui, Sasu Tarkoma, Jon Crowcroft) [Paper] --- In conjunction with ACM Mobicom 2022.
- PAIGE: Towards a Hybrid-Edge Design for Privacy-Preserving Intelligent Personal Assistants: The 3rd International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2020, Yilei Liang, Dan O’Keeffe, Nishanth Sastry) [Paper] --- In conjunction with ACM EuroSys 2020.
