53 citations · 55 across the 5 of their papers we have counts for
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cs.MA2026
Agentic Federated Learning: The Future of Distributed Training Orchestration
Rafael O. Jarczewski, Gabriel U. Talasso, Leandro Villas +1
Although Federated Learning (FL) promises privacy and distributed collaboration, its effectiveness in real-world scenarios is often hampered by the stochastic heterogeneity of clie…
cs.LG2026
Task-Centric Personalized Federated Fine-Tuning of Language Models
Gabriel U. Talasso, Meghdad Kurmanji, Allan M. de Souza +2
Federated Learning (FL) has emerged as a promising technique for training language models on distributed and private datasets of diverse tasks. However, aggregating models trained…