Pedro Gusmão

ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Titouan Parcollet, J. Fernández-Marqués, Yan Gao, 2022, ICLR.

Forecasting Retail Client Flow with LSTMs on Inconsistent Time Forecasting Retail Client Flow with LSTMs on Inconsistent Time Series Series

Pedro Gusmão, José Moreira, A. Tomé, 2022 .

Privacy in Multimodal Federated Human Activity Recognition

R. Piechocki, M. J. Bocus, Raúl Santos-Rodríguez, 2023, ArXiv.

Can Fair Federated Learning Reduce the need for Personalisation?

Nicholas D. Lane, Alexandru Iacob, Pedro Gusmão, 2023, EuroMLSys@EuroSys.

vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer

Xinchi Qiu, Wanru Zhao, Pedro Gusmão, 2023, ArXiv.

Time Series Forecasting in Retail Sales Using LSTM and Prophet

A. Tomé, José Moreira, Pedro Gusmão, 2021, Advances in Business Information Systems and Analytics.

FedVal: Different good or different bad in federated learning

Xinchi Qiu, Mina Alibeigi, Pedro Gusmão, 2023, USENIX Security Symposium.

Secure Vertical Federated Learning Under Unreliable Connectivity

Xinchi Qiu, Wanru Zhao, Pedro Gusmão, 2023, 2305.16794.