Alex Iacob

According to our database, Alex Iacob authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 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, May, 2025

SparsyFed: Sparse Adaptive Federated Training.

Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas D. Lane

CoRR, April, 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, February, 2025

DEPT: Decoupled Embeddings for Pre-training Language Models.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SparsyFed: Sparse Adaptive Federated Learning.

Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas Donald Lane

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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