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WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning
GEIMER, Arno Michel Denis; FIZ PONTIVEROS, Beltran; STATE, Radu
2024 • 5th ACM International Conference on AI in Finance
Peer reviewed
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https://hdl.handle.net/10993/63243
DOI
10.1145/3677052.3698653
 

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Keywords :
Federated Learning, Contribution, Finance
Disciplines :
Computer science
Finance
Author, co-author :
GEIMER, Arno Michel Denis  ;  University of Luxembourg
FIZ PONTIVEROS, Beltran  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN
STATE, Radu  ;  University of Luxembourg
External co-authors :
no
Language :
English
Title :
WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning
Publication date :
14 November 2024
Event name :
5th ACM International Conference on AI in Finance
Event date :
14.11.2024-17.11.2024
Peer reviewed :
Peer reviewed
Additional URL :
https://dl.acm.org/doi/pdf/10.1145/3677052.3698653
Funders :
Luxembourg National Research Fund
Funding number :
18047633
Available on ORBilu :
since 18 December 2024

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