Papers Contribution Assessment

“Contribution Assessment” 태그가 달린 논문 6편 · 필터 해제

WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning

2025-06-25 · Arno Geimer, Beltran Fiz Pontiveros, Radu State

Federated Learning (FL) is a collaborative machine learning paradigm which allows participants to collectively train a model while training data remains private. This paradigm is especially beneficial for sectors like fi…

Contribution Assessment Federated Learning

Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks

2025-02-07 · Nurbek Tastan, Samuel Horvath, Karthik Nandakumar

Collaborative learning enables multiple participants to learn a single global model by exchanging focused updates instead of sharing data. One of the core challenges in collaborative learning is ensuring that participant…

Contribution Assessment

DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning

2024-10-19 · Ketin Yin, Zonghao Guo, Zhenghan Qin

In the current era of artificial intelligence, federated learning has emerged as a novel approach to addressing data privacy concerns inherent in centralized learning paradigms. This decentralized learning model not only…

Contribution Assessment Federated Learning

CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation

2024-09-04 · Hao Wu, Likun Zhang, Shucheng Li, Fengyuan Xu 외

In the federated learning (FL) process, since the data held by each participant is different, it is necessary to figure out which participant has a higher contribution to the model performance. Effective contribution ass…

Contribution Assessment Federated Learning Quantization

Redefining Contributions: Shapley-Driven Federated Learning

2024-06-01 · Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horvath 외

Federated learning (FL) has emerged as a pivotal approach in machine learning, enabling multiple participants to collaboratively train a global model without sharing raw data. While FL finds applications in various domai…

Collaborative Fairness Contribution Assessment Data Valuation Fairness+1

Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain

2023-02-27 · Baturalp Buyukates, Chaoyang He, Shanshan Han, Zhiyong Fang 외

We consider a project (model) owner that would like to train a model by utilizing the local private data and compute power of interested data owners, i.e., trainers. Our goal is to design a data marketplace for such dece…

Contribution Assessment Federated Learning Outlier Detection Privacy Preserving