Alex Iacob

According to our database, Alex Iacob authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Photon: Federated LLM Pre-Training.

Lorenzo Sani, Alex Iacob, Zeyu Cao, Royson Lee, Bill Marino, Yan Gao, Dongqi Cai, Zexi Li, Wanru Zhao, Xinchi Qiu, Nicholas D. Lane

CoRR, 2024

DEPT: Decoupled Embeddings for Pre-training Language Models.

Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, 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

The Future of Large Language Model Pre-training is Federated.

Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane

CoRR, 2024

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients.

Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane

CoRR, 2024

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, Javier Fernández-Marqués, Nicholas Donald Lane

CoRR, 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

Can Fair Federated Learning Reduce the need for Personalisation?

Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023