Fairness Auditing with Multi-Agent Collaboration
Fuente:
arXiv
Saved in:
| Main Authors: | de Vos, Martijn, Dhasade, Akash, Bourrée, Jade Garcia, Kermarrec, Anne-Marie, Merrer, Erwan Le, Rottembourg, Benoit, Tredan, Gilles |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
by: Bourrée, Jade Garcia, et al.
Published: (2023)
by: Bourrée, Jade Garcia, et al.
Published: (2023)
P2NIA: Privacy-Preserving Non-Iterative Auditing
by: Bourrée, Jade Garcia, et al.
Published: (2025)
by: Bourrée, Jade Garcia, et al.
Published: (2025)
Robust ML Auditing using Prior Knowledge
by: Bourrée, Jade Garcia, et al.
Published: (2025)
by: Bourrée, Jade Garcia, et al.
Published: (2025)
Fast In-Spectrum Graph Watermarks
by: Bourrée, Jade Garcia, et al.
Published: (2025)
by: Bourrée, Jade Garcia, et al.
Published: (2025)
Log Probability Tracking of LLM APIs
by: Chauvin, Timothée, et al.
Published: (2025)
by: Chauvin, Timothée, et al.
Published: (2025)
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
by: Dhasade, Akash, et al.
Published: (2024)
by: Dhasade, Akash, et al.
Published: (2024)
The Evaluation Game: Beyond Static LLM Benchmarking
by: Wang, Paul, et al.
Published: (2026)
by: Wang, Paul, et al.
Published: (2026)
Under manipulations, are some AI models harder to audit?
by: Godinot, Augustin, et al.
Published: (2024)
by: Godinot, Augustin, et al.
Published: (2024)
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
by: Godinot, Augustin, et al.
Published: (2024)
by: Godinot, Augustin, et al.
Published: (2024)
Effective LoRA Adapter Routing using Task Representations
by: Dhasade, Akash, et al.
Published: (2026)
by: Dhasade, Akash, et al.
Published: (2026)
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
Fair Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Energy-Aware Decentralized Learning with Intermittent Model Training
by: Dhasade, Akash, et al.
Published: (2024)
by: Dhasade, Akash, et al.
Published: (2024)
Token-Efficient Change Detection in LLM APIs
by: Chauvin, Timothée, et al.
Published: (2026)
by: Chauvin, Timothée, et al.
Published: (2026)
Decentralized Learning Made Easy with DecentralizePy
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
Get More for Less in Decentralized Learning Systems
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
Boosting Resource-Constrained Federated Learning Systems with Guessed Updates
by: Boukhari, Mohamed Yassine, et al.
Published: (2021)
by: Boukhari, Mohamed Yassine, et al.
Published: (2021)
Robust Federated Inference
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
The 20 questions game to distinguish large language models
by: Richardeau, Gurvan, et al.
Published: (2024)
by: Richardeau, Gurvan, et al.
Published: (2024)
Optimizing Agentic Workflows using Meta-tools
by: Abuzakuk, Sami, et al.
Published: (2026)
by: Abuzakuk, Sami, et al.
Published: (2026)
Practical Federated Learning without a Server
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
Decentralized Learning Made Practical with Client Sampling
by: de Vos, Martijn, et al.
Published: (2023)
by: de Vos, Martijn, et al.
Published: (2023)
Revisiting Ensembling in One-Shot Federated Learning
by: Allouah, Youssef, et al.
Published: (2024)
by: Allouah, Youssef, et al.
Published: (2024)
Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption
by: Biswas, Sayan, et al.
Published: (2025)
by: Biswas, Sayan, et al.
Published: (2025)
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation
by: Bergman, Shai, et al.
Published: (2025)
by: Bergman, Shai, et al.
Published: (2025)
LLMs Prompted for Graphs: Hallucinations and Generative Capabilities
by: Richardeau, Gurvan, et al.
Published: (2024)
by: Richardeau, Gurvan, et al.
Published: (2024)
Accelerating MoE Model Inference with Expert Sharding
by: Balmau, Oana, et al.
Published: (2025)
by: Balmau, Oana, et al.
Published: (2025)
Noiseless Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Mosaic Learning: A Framework for Decentralized Learning with Model Fragmentation
by: Biswas, Sayan, et al.
Published: (2026)
by: Biswas, Sayan, et al.
Published: (2026)
Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2026)
by: Biswas, Sayan, et al.
Published: (2026)
Navigating the Accuracy-Size Trade-Off with Flexible Model Merging
by: Dhasade, Akash, et al.
Published: (2025)
by: Dhasade, Akash, et al.
Published: (2025)
Collaborative Agentic AI Needs Interoperability Across Ecosystems
by: Sharma, Rishi, et al.
Published: (2025)
by: Sharma, Rishi, et al.
Published: (2025)
ERIS: Enhancing Privacy and Scalability in Federated Learning via Federated Shard Aggregation
by: Fenoglio, Dario, et al.
Published: (2026)
by: Fenoglio, Dario, et al.
Published: (2026)
RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection
by: Abuzakuk, Sami, et al.
Published: (2026)
by: Abuzakuk, Sami, et al.
Published: (2026)
Secure Aggregation Meets Sparsification in Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
by: Ekpo, Promise Osaine, et al.
Published: (2025)
by: Ekpo, Promise Osaine, et al.
Published: (2025)
Achieving Group Fairness through Independence in Predictive Process Monitoring
by: Peeperkorn, Jari, et al.
Published: (2024)
by: Peeperkorn, Jari, et al.
Published: (2024)
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges
by: Kamalaruban, Parameswaran, et al.
Published: (2024)
by: Kamalaruban, Parameswaran, et al.
Published: (2024)
DispaRisk: Auditing Fairness Through Usable Information
by: Vasquez, Jonathan, et al.
Published: (2024)
by: Vasquez, Jonathan, et al.
Published: (2024)
Similar Items
-
Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
by: Bourrée, Jade Garcia, et al.
Published: (2023) -
P2NIA: Privacy-Preserving Non-Iterative Auditing
by: Bourrée, Jade Garcia, et al.
Published: (2025) -
Robust ML Auditing using Prior Knowledge
by: Bourrée, Jade Garcia, et al.
Published: (2025) -
Fast In-Spectrum Graph Watermarks
by: Bourrée, Jade Garcia, et al.
Published: (2025) -
Log Probability Tracking of LLM APIs
by: Chauvin, Timothée, et al.
Published: (2025)