Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning
Devharsh Trivedi, Nesrine Kaaniche, Nikos Triandopoulos, Maryline Laurent, Jackson Walters
cs.CR, cs.LG
Submitted: 2026-08-06
Updated: 2026-08-10
Comments: 37 pages, 6 figures. Extended version, adding a size-weighted variant, a clipping-based influence bound, and machine-checked proofs of the main results
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Differentially Private Federated Learning: A Client Level Perspective
- Fairness-Constrained Optimization Attack in Federated Learning
- FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient
- GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
- PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
- Split learning for health: Distributed deep learning without sharing raw patient data
- Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering
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