Xinchi Qiu

Mina Alibeigi

Alex Iacob

CoRR, 2024

FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A First Look into the Carbon Footprint of Federated Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

High-throughput Simulation of Federated Learning via Resource-Aware Client Placement.

[BibT_eX]

[DOI]

Lorenzo Sani

Nicholas Donald Lane

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

EXACT: Extensive Attack for Split Learning.

[BibT_eX]

[DOI]

Ilias Leontiadis

Luca Melis

Alexandre Sablayrolles

Pierre Stock

CoRR, 2023

Efficient Vertical Federated Learning with Secure Aggregation.

[BibT_eX]

[DOI]

CoRR, 2023

Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates.

[BibT_eX]

[DOI]

CoRR, 2023

FedVal: Different good or different bad in federated learning.

[BibT_eX]

[DOI]

Viktor Valadi

Mina Alibeigi

Proceedings of the 32nd USENIX Security Symposium, 2023

FedL2P: Federated Learning to Personalize.

[BibT_eX]

[DOI]

Timothy M. Hospedales

Ferenc Huszar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

Yan Gao

Nicholas Donald Lane

Proceedings of the Tenth International Conference on Learning Representations, 2022

Protea: client profiling within federated systems using flower.

[BibT_eX]

[DOI]

Wanru Zhao

Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022

2021

On-device Federated Learning with Flower.

[BibT_eX]

[DOI]

Akhil Mathur

Daniel J. Beutel

CoRR, 2021

A first look into the carbon footprint of federated learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A first look into the carbon footprint of federated learning.

[BibT_eX]

[DOI]

CoRR, 2020

Flower: A Friendly Federated Learning Research Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Quaternion Neural Networks for Multi-Channel Distant Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition.

[BibT_eX]

[DOI]