FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in Federated Learning

arXiv:2502.16396 · cs.LG, cs.AI, cs.CR · Submitted 2025-02-23 · Read on arXiv

cs.LG, cs.AI, cs.CR

Submitted: 2025-02-23

Updated: 2026-09-22

Comments: Accepted for publication in IEEE Transactions on Knowledge and Data Engineering

DOI: 10.1109/TKDE.2026.3736353

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 31× in this paper · explained in 1 episode
• Federated Learning — 27× in this paper · explained in 14 episodes
• Aggregation — 22× in this paper · explained in 1 episode
• Robustness — 17× in this paper · explained in 5 episodes
• Differential Privacy — 3× in this paper · explained in 4 episodes
• Reconstruction Error — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Adversarial Training — 2× in this paper · explained in 1 episode
• Differentially Private — 2× in this paper · explained in 3 episodes
• Network and Distributed Systems Security Symposium — 2× in this paper
• Attack Success Rate — 1× in this paper
• Attack Success Rate (ASR) — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Critical Difference — 1× in this paper
• Decentralized Learning — 1× in this paper · explained in 2 episodes
• Differential Privacy (DP) — 1× in this paper · explained in 7 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Stochastic Gradient Decent — 1× in this paper
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Abnormal Client Behavior Detection in Federated Learning
• Learning to Detect Malicious Clients for Robust Federated Learning
• Can You Really Backdoor Federated Learning?
• Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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