Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
De Gusmao, Pedro Porto Buarque
23  Ergebnisse:
Personensuche X
?
1

Can Fair Federated Learning Reduce the need for Personalisa..:

, In: Proceedings of the 3rd Workshop on Machine Learning and Systems,
Iacob, Alex ; Gusmão, Pedro Porto Buarque ; Lane, Nicholas - p. 131-139 , 2023
Link: https://dl.acm.org/doi/1..
 
?
2

L-DAWA: Layer-wise Divergence Aware Weight Aggregation in F..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Ur Rehman, Yasar Abbas ; Gao, Yan ; De Gusmao, Pedro Porto Buarque... - p. 16418-16427 , 2023
Link: https://doi.org/10.1109/..
 
?
3

Federated Self-supervised Learning for Video Understanding:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Rehman, Yasar Abbas Ur ; Gao, Yan ; Shen, Jiajun.. - p. 506-522 , 2022
Link: https://doi.org/10.1007/..
 
?
4

Secure aggregation for federated learning in flower:

, In: Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning,
Li, Kwing Hei ; de Gusmão, Pedro Porto Buarque ; Beutel, Daniel J.. - p. 8-14 , 2021
Link: https://dl.acm.org/doi/1..
 
?
5

Decentralized Training of 3D Lane Detection with Automatic ..:

, In: 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring),
Mao, Yadong ; Xiao, Zhuqi ; Lin, Che-Tsung... - p. 1-7 , 2023
Link: https://doi.org/10.1109/..
 
?
6

High-throughput Simulation of Federated Learning via Resour..:

Sani, Lorenzo ; de Gusmão, Pedro Porto Buarque ; Iacob, Alex...
http://arxiv.org/abs/2306.17453.  , 2023
Link: http://arxiv.org/abs/230..
 
?
7

FedVal: Different good or different bad in federated learni..:

Valadi, Viktor ; Qiu, Xinchi ; de Gusmão, Pedro Porto Buarque..
http://arxiv.org/abs/2306.04040.  , 2023
Link: http://arxiv.org/abs/230..
 
?
8

L-DAWA: Layer-wise Divergence Aware Weight Aggregation in F..:

Rehman, Yasar Abbas Ur ; Gao, Yan ; de Gusmão, Pedro Porto Buarque...
http://arxiv.org/abs/2307.07393.  , 2023
Link: http://arxiv.org/abs/230..
 
?
9

Efficient Vertical Federated Learning with Secure Aggregati..:

Qiu, Xinchi ; Pan, Heng ; Zhao, Wanru...
http://arxiv.org/abs/2305.11236.  , 2023
Link: http://arxiv.org/abs/230..
 
?
10

Federated Self-supervised Learning for Video Understanding:

Rehman, Yasar Abbas Ur ; Gao, Yan ; Shen, Jiajun..
http://arxiv.org/abs/2207.01975.  , 2022
Link: http://arxiv.org/abs/220..
 
?
11

FLOWER: A FRIENDLY FEDERATED LEARNING FRAMEWORK:

Beutel, Daniel J ; Topal, Taner ; Mathur, Akhil...
info:eu-repo/semantics/altIdentifier/arxiv/2007.14390.  , 2022
Link: https://hal.science/hal-..
 
?
12

Secure Aggregation for Federated Learning in Flower:

Li, Kwing Hei ; de Gusmão, Pedro Porto Buarque ; Beutel, Daniel J.
http://arxiv.org/abs/2205.06117.  , 2022
Link: http://arxiv.org/abs/220..
 
?
13

FLOWER: A FRIENDLY FEDERATED LEARNING FRAMEWORK:

Beutel, Daniel J ; Topal, Taner ; Mathur, Akhil...
info:eu-repo/semantics/altIdentifier/arxiv/2007.14390.  , 2022
Link: https://hal.science/hal-..
 
?
14

On-device Federated Learning with Flower:

Mathur, Akhil ; Beutel, Daniel J ; de Gusmão, Pedro Porto Buarque...
http://arxiv.org/abs/2104.03042.  , 2021
Link: http://arxiv.org/abs/210..
 
?
15

A first look into the carbon footprint of federated learnin:

Qiu, Xinchi ; Parcollet, Titouan ; Fernandez-Marques, Javier...
http://arxiv.org/abs/2102.07627.  , 2021
Link: http://arxiv.org/abs/210..
 
1-15