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20242026
most citedOn the Volatility of Shapley-Based Contribution Metrics in Federated Learning

1 citations · 1 across the 5 of their papers we have counts for

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cs.LG2025

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

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 e…

cs.LG2025

Collaborative Batch Size Optimization for Federated Learning

Arno Geimer, Karthick Panner Selvam, Beltran Fiz Pontiveros

Federated Learning (FL) is a decentralized collaborative Machine Learning framework for training models without collecting data in a centralized location. It has seen application a…