Algorithmic Fairness

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29 papers in the last four weeks, up 71% on the four weeks before. 0.3% of all new papers.

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Fairness-Aware Federated Learning with Trajectory Shapley Value
May 28, 2026Daniel Kuznetsov, Ziqi WangFederated Learning Aggregation Algorithmic Fairness
Faculty of Mathematics, Ecole Normale Supérieure Paris-Saclay, 4 Av. des Sciences, 91190 Gif-sur-Yvette, France. · Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship, Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstrasse 11, 91058 Erlangen, Germany.
Fairness Beyond Demographics: Optimizing Performance Across Appearance-Based Hidden Cohorts in Medical Imaging
May 28, 2026Milad Masroor, Cuong Nguyen, Kevin Wells +1Medical Image Analysis Algorithmic Fairness
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK
When Interpretability Is Unequally Distributed: Fairness in Hybrid Interpretable Models
May 27, 2026Ziba Jabbar Zare, Ulrich Aïvodji, Julien Ferry +1Interpretable ML Algorithmic Fairness
Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Canada · Software and Information Technology Engineering Department, École de technologie supérieure, Canada · CIRRELT & SCALE-AI Chair in Data-Driven Supply Chains, Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Canada
Counterfactually Fair Regression via Optimal Transport
May 27, 2026M. Generali Lince, S. Gaucher, J-J. Vie +1Algorithmic Fairness Counterfactual Fairness
Inria, Soda team · CREST, ENSAE, IP Paris · CMAP, CNRS, Ecole Polytechnique, Institut Polytechnique de Paris +1
Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings
May 27, 2026M. Generali Lince, V. Divol, R. Flamary +2Algorithmic Fairness Group Fairness
Inria, Soda team · CREST, ENSAE, IP Paris · Inria, Fairplay joint team +1
OccuReward: LLM-Guided Occupant-Centric Reward Shaping for Demographic Equity in Grid-Interactive Buildings
May 27, 2026Shadmehr Zaregarizi, Khashayar YavariReward Shaping Algorithmic Fairness
Politecnico di Torino Turin, Italy
Examining Agents' Bias Amplification versus Suppression in Multi-Agent Systems
May 27, 2026Zejian Eric Wu, Zhongyi Jiang, Yuan Zhuang +1Multi-Agent LLM Systems Algorithmic Fairness
Oregon State University · Independent Researcher · Amazon +1
Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
May 27, 2026Myeongsoo Kim, Eunji Kim, Minwoo Chae +1Diffusion Model Guidance Classifier-Free Guidance
1POSTECH · 2Amazon
Operational AI Deployment Assurance: Governance-State Orchestration Under Threshold-Sensitive Deployment Conditions -- A Governance Framework for High-Stakes AI Systems
May 27, 2026Khalid Adnan AlsayedAI Assurance Algorithmic Fairness
Ducaltus — AI Assurance & Governance Newcastle upon Tyne, United Kingdom · School of Computing, Engineering & Digital Technologies Teesside University Middlesbrough, United Kingdom
Test-Time Collective Action: Proxy-Based Perturbations for Correcting Algorithmic Harms
May 26, 2026Meghana Bhange, Ulrich Aïvodji, Elliot CreagerAlgorithmic Fairness Group Fairness
ÉTS Montréal, Mila · University of Waterloo, Vector Institute
Algorithmic Monocultures in Hiring
May 26, 2026Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel +2AI-Assisted Decision Making Algorithmic Auditing
Stanford University, USA · Chapman University, USA · Northeastern University, USA
A Blended Likelihood Approach for Achieving Fairness Using Naive Bayes
May 24, 2026John Arthur Junior, Abdul Lateef Yussif, Maame G. Asante-Mensah +3Algorithmic Fairness Algorithmic Bias
Department of Computer Science and Information Technology, University of Cape Coast, Cape Coast, Ghana.
Energy Shields for Fairness
May 24, 2026Filip Cano, Thomas A. Henzinger, Konstantin KueffnerAlgorithmic Fairness Runtime Assurance
Institute of Science and Technology Austria, Klosterneuburg, Austria
HoloFair: Unified T2I Fairness Evaluation and Fair-GRPO Debiasing
May 23, 2026Ruyi Chen, Lu Zhou, Xiaogang Xu +3T2I Generation Algorithmic Fairness
Nanjing University of Aeronautics and Astronautics · Collaborative Innovation Center of Novel Software Technology and Industrialization · School of Software Technology, Zhejiang University, Ningbo, China +1
Balancing Fairness, Privacy, and Accuracy: A Multitask Adversarial Framework for Centralized Data-Driven Systems
May 23, 2026Imesh Ekanayake, Elham Naghizade, Jeffrey ChanAdversarial Training Representation Learning
School of Computing Technologies, RMIT University, Melbourne, VIC, Australia
Side-by-side Comparison Amplifies Dialect Bias in Language Models
May 23, 2026Kritee Kondapally, Claire J. Smerdon, Pooja C. Patel +5Social Bias in Language Models Algorithmic Fairness
University of Southern California, USA
EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization
May 22, 2026Chaitanya Wanjari, Jessica Kamal, Riddhi Jain +2Social Media Analysis Algorithmic Fairness
ABV IIITM Gwalior, India
Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models
May 22, 2026Conlan Olson, Linjun Zhang, Zhun Deng +1Mahalanobis Distance Algorithmic Fairness
Columbia University · Rutgers University · UNC Chapel Hill +1
Long-term Fairness with Selective Labels
May 21, 2026Giovani Valdrighi, Isabel Valera, Marcos Medeiros RaimundoReinforcement Learning Algorithmic Fairness
Instituto de Computac¸˜ao, Universidade Estadual de Campinas, Campinas, Brazil · Department of Computer Science, Saarland University, Saarbrücken, Germany
Mitigating Label Bias with Interpretable Rubric Embeddings
May 20, 2026Calvin Isley, Johann D. Gaebler, Sharad GoelRepresentation Learning Interpretable ML
Harvard Kennedy School · Harvard University · Cambridge, MA 02139 +1
Smooth Partial Lotteries for Stable Randomized Selection
May 19, 2026Alexander Goldberg, Giulia Fanti, Nihar B. ShahAlgorithmic Stability Algorithmic Fairness
Carnegie Mellon University
Provable Fairness Repair for Deep Neural Networks
May 19, 2026Jianan Ma, Jingyi Wang, Qi Xuan +1Algorithmic Fairness
Hangzhou Dianzi University, China · Zhejiang University, China · Zhejiang University of Technology, China
Neuron Incidence Redistribution for Fairness in Medical Image Classification
May 19, 2026Abin Shoby, Lyle John Palmer, Nikhil Cherian KurianAlgorithmic Fairness Medical Image Classification
Australian Institute for Machine Learning · Adelaide University · Adelaide, SA 5000, Australia
Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification
May 19, 2026Nikhil Cherian Kurian, Victor Caquilpan Parra, Abin Shoby +6Algorithmic Fairness Medical Image Classification
Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia · GlaxoSmithKline (GSK)
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
May 16, 2026David Troxell, Noah Roemer, Guido MontúfarDeep Learning Optimization Algorithmic Fairness
Department of Statistics & Data Science, University of California, Los Angeles, USA · Department of Mathematics, University of California, Los Angeles, USA · Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
Auditing Discriminatory Patterns in Mortgage Lending Through Association Rules and Fair Binning
May 16, 2026Archit Rathod, Dhwani Chande, Het NagdaFinancial Services Algorithmic Auditing
University of Illinois Chicago
Beyond Performance Disparities: A Three-Level Audit of Representational Harm in CelebA
May 14, 2026Sieun Park, Yuanmo HeAlgorithmic Fairness
Department of Methodology, London School of Economics and Political Science
GESD: Beyond Outcome-Oriented Fairness
May 14, 2026Gideon Popoola, John SheppardAlgorithmic Fairness Group Fairness
Montana State University Bozeman, MT, USA
Temporal Fair Division in Multi-Agent Systems: From Precise Alternation Metrics to Scalable Coordination Proxies
May 14, 2026Nikolaos Al. PapadopoulosMulti-Agent Coordination Fair Resource Allocation
University of Macedonia, Department of Applied Informatics, Thessaloniki, Greece
Fair and Calibrated Toxicity Detection with Robust Training and Abstention
May 13, 2026Mokshit SuranaProbability Calibration Selective Prediction
University of Illinois Chicago

May 28, 2026, cs.LGJ/K move · Enter open · S save

Fairness-Aware Federated Learning with Trajectory Shapley Value

Daniel Kuznetsov, Ziqi Wang

Faculty of Mathematics, Ecole Normale Supérieure Paris-Saclay, 4 Av. des Sciences, 91190 Gif-sur-Yvette, France. · Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship, Department of Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Cauerstrasse 11, 91058 Erlangen, Germany.

Federated Learning Aggregation Algorithmic Fairness Shapley Value Attribution Federated Learning Heterogeneous Federated Learning

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Federated learning is an emerging distributed paradigm that addresses the challenges posed by heterogeneous, privacy-sensitive data. It enables multiple clients to train a model collaboratively by aggregating their local updates at a server. However, conventional aggregation schemes typically use fixed weights that fail to reflect unequal and time-varying client contributions, leading to biased and unstable learning. To improve fairness and stability, we propose the Trajectory Shapley Value (TSV), a contribution metric that evaluates how each client influences the optimization trajectory of the global model using a validation-based, temporally consistent utility. Building on TSV, we design FedTSV, an adaptive aggregation method that converts per-round evaluations into dynamic client weights, allowing the server to respond to heterogeneous and adversarial participation in real time. Experiments on benchmark datasets show that FedTSV accelerates convergence, improves robustness, and yields more equitable contribution assessments, thereby providing a principled foundation for fairness-aware federated optimization.

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