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2020 – today
- 2024
[i7]Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane:
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR abs/2402.10191 (2024)- [i6]Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane:
The Future of Large Language Model Pre-training is Federated. CoRR abs/2405.10853 (2024) - [i5]Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William F. Shen, Nicholas Donald Lane:
Worldwide Federated Training of Language Models. CoRR abs/2405.14446 (2024) - [i4]Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas D. Lane:
DEPT: Decoupled Embeddings for Pre-training Language Models. CoRR abs/2410.05021 (2024) - 2023
- [c1]Alex Iacob
, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys 2023: 131-139 - [i3]Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Can Fair Federated Learning reduce the need for Personalisation? CoRR abs/2305.02728 (2023) - [i2]Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville:
Privacy in Multimodal Federated Human Activity Recognition. CoRR abs/2305.12134 (2023) - [i1]Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane:
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR abs/2306.17453 (2023)
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