mlsanityData to 7 Oct 2026

Knowledge-Free Correlated Agreement for Incentivizing Federated Learning

arXiv 2605.04747 ↗First posted 6 May 2026cs.LG cs.AI cs.GTcited by 0

Not on the map. Why?

Abstract (arXiv)

We introduce Knowledge-Free Correlated Agreement (KFCA) to reward client contributions in federated learning (FL) without relying on ground truth, a public test set, or distribution knowledge. Under categorical reports and an honest majority, KFCA is strictly truthful, addressing the label-flipping vulnerability of Correlated Agreement (CA). We evaluate KFCA on federated LLM adapter tuning and a real-world PCB inspection task, showing efficient real-time reward computation suitable for decentralized and blockchain-based incentive designs.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 38 of its 74 references that are in the map. First posted on arXiv 6 May 2026.

Builds on

38 of 74 references.

References · 38

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  2. 2021Evaluating Large Language Models Trained on Codecited by 8,053
  3. 2020Measuring Massive Multitask Language Understandingcited by 7,768
  4. 2016Communication-Efficient Learning of Deep Networks from Decentralized Datacited by 7,592
  5. 2021Program Synthesis with Large Language Modelscited by 3,509
  6. 2019Advances and Open Problems in Federated Learningcited by 3,021
  7. 2017Understanding Black-box Predictions via Influence Functionscited by 1,714
  8. 2020What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Examscited by 1,324
  9. 2019PubMedQA: A Dataset for Biomedical Research Question Answeringcited by 1,271
  10. 2024DoRA: Weight-Decomposed Low-Rank Adaptationcited by 740
  11. 2023Instruction Tuning with GPT-4cited by 676
  12. 2019Data Shapley: Equitable Valuation of Data for Machine Learningcited by 617
26 more
  1. 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answeringcited by 525
  2. 2013Good Debt or Bad Debt: Detecting Semantic Orientations in Economic Textscited by 310
  3. 2023MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Datacited by 282
  4. 2019Towards Efficient Data Valuation Based on the Shapley Valuecited by 279
  5. 2023FinGPT: Open-Source Financial Large Language Modelscited by 244
  6. 2022Will we run out of data? Limits of LLM scaling based on human-generated datacited by 187
  7. 2020FinBERT: A Pretrained Language Model for Financial Communicationscited by 161
  8. 2020A Principled Approach to Data Valuation for Federated Learningcited by 127
  9. 2024OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learningcited by 124
  10. 2021GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learningcited by 73
  11. 2014IPFS - Content Addressed, Versioned, P2P File Systemcited by 67
  12. 2020FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MECcited by 48
  13. 2021Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspectivecited by 47
  14. 2021A Comprehensive Survey of Incentive Mechanism for Federated Learningcited by 38
  15. 2020FOCUS: Dealing with Label Quality Disparity in Federated Learningcited by 36
  16. 2019A Crowdsourcing Framework for On-Device Federated Learningcited by 32
  17. 2013Crowdsourced Judgement Elicitation with Endogenous Proficiencycited by 30
  18. 2024FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Modelscited by 26
  19. 2016Informed Truthfulness in Multi-Task Peer Predictioncited by 24
  20. 2018Joint Service Pricing and Cooperative Relay Communication for Federated Learningcited by 22
  21. 2025Automatic Evaluation of Healthcare LLMs Beyond Question-Answeringcited by 19
  22. 2021Transparent Contribution Evaluation for Secure Federated Learning on Blockchaincited by 16
  23. 2022Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Reviewcited by 15
  24. 2020Incentives for Federated Learning: a Hypothesis Elicitation Approachcited by 12
  25. 2025FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Modelscited by 11
  26. 2021Data-Free Evaluation of User Contributions in Federated Learningcited by 10

Built on by

Not cited yet.