4 citations · 7 across the 8 of their papers we have counts for
8 papers
Beyond performance-wise Contribution Evaluation in Federated Learning
Balazs Pejo
Federated learning offers a privacy-friendly collaborative learning framework, yet its success, like any joint venture, hinges on the contributions of its participants. Existing cl…
Private and Robust Contribution Evaluation in Federated Learning
Delio Jaramillo Velez, Gergely Biczok, Alexandre Graell i Amat +2
Cross-silo federated learning allows multiple organizations to collaboratively train machine learning models without sharing raw data, but client updates can still leak sensitive i…
On the Fragility of Contribution Score Computation in Federated Learning
Balazs Pejo, Marcell Frank, Krisztian Varga +2
This paper investigates the fragility of contribution evaluation in federated learning, a critical mechanism for ensuring fairness and incentivizing participation. We argue that co…
Effective Anonymous Messaging: the Role of Altruism
Marcell Frank, Balazs Pejo, Gergely Biczok
Anonymous messaging and payments have gained momentum recently due to their impact on individuals, society, and the digital landscape. Fuzzy Message Detection (FMD) is a privacy-pr…
Games in the Time of COVID-19: Promoting Mechanism Design for Pandemic Response
Balázs Pejó, Gergely Biczók
Most governments employ a set of quasi-standard measures to fight COVID-19 including wearing masks, social distancing, virus testing, contact tracing, and vaccination. However, com…
Quality Inference in Federated Learning with Secure Aggregation
Balázs Pejó, Gergely Biczók
Federated learning algorithms are developed both for efficiency reasons and to ensure the privacy and confidentiality of personal and business data, respectively. Despite no data b…
Corona Games: Masks, Social Distancing and Mechanism Design
Balazs Pejo, Gergely Biczok
Pandemic response is a complex affair. Most governments employ a set of quasi-standard measures to fight COVID-19 including wearing masks, social distancing, virus testing and cont…
Together or Alone: The Price of Privacy in Collaborative Learning
Balazs Pejo, Qiang Tang, Gergely Biczok
Machine learning algorithms have reached mainstream status and are widely deployed in many applications. The accuracy of such algorithms depends significantly on the size of the un…