Can Fair Federated Learning Reduce the need for Personalisation? - Alex Iacob; Pedro Porto Buarque de Gusmão; Nicholas D. Lane (EuroMLSys@EuroSys, 2023)

Privacy in Multimodal Federated Human Activity Recognition. - Alex Iacob; Pedro Porto Buarque de Gusmão; Nicholas D. Lane; Armand K. Koupai; Mohammud Junaid Bocus; Raúl Santos-Rodríguez; Robert J. Piechocki; Ryan McConville (CoRR, 2023)

High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. - Lorenzo Sani; Pedro Porto Buarque de Gusmão; Alex Iacob; Wanru Zhao; Xinchi Qiu; Yan Gao 016; Javier Fernández-Marqués; Nicholas Donald Lane (CoRR, 2023)

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. - Xinchi Qiu; Yan Gao 016; Lorenzo Sani; Heng Pan; Wanru Zhao; Pedro P. B. de Gusmao; Mina Alibeigi; Alex Iacob; Nicholas D. Lane (CoRR, 2024)

The Future of Large Language Model Pre-training is Federated. - Lorenzo Sani; Alex Iacob; Zeyu Cao; Bill Marino; Yan Gao 016; Tomás Paulik; Wanru Zhao; William F. Shen; Preslav Aleksandrov; Xinchi Qiu; Nicholas D. Lane (CoRR, 2024)

Worldwide Federated Training of Language Models. - Alex Iacob; Lorenzo Sani; Bill Marino; Preslav Aleksandrov; William F. Shen; Nicholas Donald Lane (CoRR, 2024)

Photon: Federated LLM Pre-Training. - Lorenzo Sani; Alex Iacob; Zeyu Cao; Royson Lee; Bill Marino; Yan Gao 016; Dongqi Cai 001; Zexi Li; Wanru Zhao; Xinchi Qiu; Nicholas D. Lane (CoRR, 2024)

SparsyFed: Sparse Adaptive Federated Learning. - Adriano Guastella; Lorenzo Sani; Alex Iacob; Alessio Mora; Paolo Bellavista; Nicholas Donald Lane (ICLR, 2025)

DEPT: Decoupled Embeddings for Pre-training Language Models. - Alex Iacob; Lorenzo Sani; Meghdad Kurmanji; William F. Shen; Xinchi Qiu; Dongqi Cai 001; Yan Gao 016; Nicholas Donald Lane (ICLR, 2025)

LUNAR: LLM Unlearning via Neural Activation Redirection. - William F. Shen; Xinchi Qiu; Meghdad Kurmanji; Alex Iacob; Lorenzo Sani; Yihong Chen; Nicola Cancedda; Nicholas D. Lane (CoRR, 2025)

SparsyFed: Sparse Adaptive Federated Training. - Adriano Guastella; Lorenzo Sani; Alex Iacob; Alessio Mora; Paolo Bellavista; Nicholas D. Lane (CoRR, 2025)

DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models. - Alex Iacob; Lorenzo Sani; Mher Safaryan; Paris Giampouras; Samuel Horváth; Andrej Jovanovic; Meghdad Kurmanji; Preslav Aleksandrov; William F. Shen; Xinchi Qiu; Nicholas D. Lane (CoRR, 2025)

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling. - Preslav Aleksandrov; Meghdad Kurmanji; Fernando García-Redondo; David O'Shea; William F. Shen; Alex Iacob; Lorenzo Sani; Xinchi Qiu; Nicola Cancedda; Nicholas D. Lane (CoRR, 2025)