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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IST, ME, IEICE-IE, IEICE-BioX, IEICE-SIP, IEICE-MI [detail] 2025-06-05
15:25
Ishikawa   Application of the Membership Inference Attacks Using Poisoning to Federated Learning
Tomoya Tsukada, Masahiro Mambo (Kanazawa Univ.)
Even though it is known that membership inference attack becomes more effective against deep learning by using data pois... [more]
ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] 2025-02-18
13:35
Hokkaido Hokkaido Univ. Effectiveness Verification of Introducing Model Merging in Federated Learning -- Investigation from Multi-domain Image Classification Tasks --
Kenta Kubota, Reb Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we evaluate the effectiveness of model merging methods for federated learning, which continuously update ... [more] MMS2025-10 ME2025-10 AIT2025-10 SIP2025-10
pp.52-56
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] 2024-06-06
13:20
Niigata Nigata University (Ekinan-Campus "TOKIMATE") Enhanced Security with Random Binary Weights for Privacy-Preserving Federated Learning
Hiroto Sawada, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (TMU)
In this paper, we propose a novel method for enhancing security in privacy-preserving federated learning under the use o... [more]
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