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cs.LG2026
A Locally Penalized Cross-Estimate Federated Method with Guarantees for Constrained Personalized Learning
Mohammadjavad Ebrahimi, Daniel Burbano, Farzad Yousefian
Federated learning (FL) is a communication-efficient framework for solving distributed optimization problems. Standard FL methods aggregate local updates into a single global model…
cs.LG2026
Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation
Fateme Maleki, Krishnan Raghavan, Farzad Yousefian
Federated learning (FL) is a communication-efficient collaborative learning framework that enables model training across multiple agents with private local datasets. While the bene…