Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy

Bibliographic Details
Main Authors: Byrd, David, Mugunthan, Vaikkunth, Polychroniadou, Antigoni, Balch, Tucker
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM|3rd ACM International Conference on AI in Finance 2022
Online Access:https://hdl.handle.net/1721.1/146504
_version_ 1826203420261875712
author Byrd, David
Mugunthan, Vaikkunth
Polychroniadou, Antigoni
Balch, Tucker
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Byrd, David
Mugunthan, Vaikkunth
Polychroniadou, Antigoni
Balch, Tucker
author_sort Byrd, David
collection MIT
first_indexed 2024-09-23T12:36:23Z
format Article
id mit-1721.1/146504
institution Massachusetts Institute of Technology
language English
last_indexed 2024-09-23T12:36:23Z
publishDate 2022
publisher ACM|3rd ACM International Conference on AI in Finance
record_format dspace
spelling mit-1721.1/1465042023-02-16T16:44:09Z Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy Byrd, David Mugunthan, Vaikkunth Polychroniadou, Antigoni Balch, Tucker Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 2022-11-16T14:52:55Z 2022-11-16T14:52:55Z 2022-11-02 2022-11-03T12:50:06Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-9376-8 https://hdl.handle.net/1721.1/146504 Byrd, David, Mugunthan, Vaikkunth, Polychroniadou, Antigoni and Balch, Tucker. 2022. "Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy." PUBLISHER_POLICY en https://doi.org/10.1145/3533271.3561754 Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The author(s) application/pdf ACM|3rd ACM International Conference on AI in Finance ACM|3rd ACM International Conference on AI in Finance
spellingShingle Byrd, David
Mugunthan, Vaikkunth
Polychroniadou, Antigoni
Balch, Tucker
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy
title Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy
title_full Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy
title_fullStr Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy
title_full_unstemmed Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy
title_short Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy
title_sort collusion resistant federated learning with oblivious distributed differential privacy
url https://hdl.handle.net/1721.1/146504
work_keys_str_mv AT byrddavid collusionresistantfederatedlearningwithobliviousdistributeddifferentialprivacy
AT mugunthanvaikkunth collusionresistantfederatedlearningwithobliviousdistributeddifferentialprivacy
AT polychroniadouantigoni collusionresistantfederatedlearningwithobliviousdistributeddifferentialprivacy
AT balchtucker collusionresistantfederatedlearningwithobliviousdistributeddifferentialprivacy