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Paper Abstract and Keywords
Presentation 2026-03-20 15:45
Defending Against Dynamic Poisoning Attacks in Federated Learning via Sliding Window Upper Confidence Bound
Chenyu Hu, Yusei Ishimizu (Science Tokyo), Jialong Li (Waseda Univ), Kenji Tei (Science Tokyo) KBSE2025-70
Abstract (in Japanese) (See Japanese page) 
(in English) Federated Learning (FL) remains vulnerable to dynamic poisoning attacks where existing Byzantine Robust Aggregation Rules (BRARs) often fail to adapt. To address this, we propose an adaptive defense framework that formulates aggregation rule selection as a Non-Stationary Multi-Armed Bandit (MAB) problem. Our method integrates K-means clustering with the Sliding Window Upper Confidence Bound (SW-UCB) algorithm. By prioritizing recent observations via a sliding window, the proposed approach rapidly adapts to shifting attack strategies. Experiments on MNIST and CIFAR-10 demonstrate that our method significantly outperforms state-of-the-art defenses in robustness under dynamic attacks while maintaining negligible computation overhead.
Keyword (in Japanese) (See Japanese page) 
(in English) Federated Learning / Dynamic Poisoning Attacks / Robustness / Multi-Armed Bandit / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 423, KBSE2025-70, pp. 126-129, March 2026.
Paper # KBSE2025-70 
Date of Issue 2026-03-12 (KBSE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF KBSE2025-70

Conference Information
Committee KBSE  
Conference Date 2026-03-19 - 2026-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Prefectural General Welfare Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To KBSE 
Conference Code 2026-03-KBSE 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Defending Against Dynamic Poisoning Attacks in Federated Learning via Sliding Window Upper Confidence Bound 
Sub Title (in English)  
Keyword(1) Federated Learning  
Keyword(2) Dynamic Poisoning Attacks  
Keyword(3) Robustness  
Keyword(4) Multi-Armed Bandit  
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1st Author's Name Chenyu Hu  
1st Author's Affiliation Institute of Science Toky (Science Tokyo)
2nd Author's Name Yusei Ishimizu  
2nd Author's Affiliation Institute of Science Toky (Science Tokyo)
3rd Author's Name Jialong Li  
3rd Author's Affiliation Waseda University (Waseda Univ)
4th Author's Name Kenji Tei  
4th Author's Affiliation Institute of Science Toky (Science Tokyo)
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Speaker Author-1 
Date Time 2026-03-20 15:45:00 
Presentation Time 30 minutes 
Registration for KBSE 
Paper # KBSE2025-70 
Volume (vol) vol.125 
Number (no) no.423 
Page pp.126-129 
#Pages 4 
Date of Issue 2026-03-12 (KBSE) 

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