2 papers
cs.CR2026
Backdoor Mitigation in Decentralized LLM Fine-Tuning
Sayan Biswas, Jade Garcia Bourrée, Rachid Guerraoui +5
Decentralized large language model (LLM) fine-tuning lets organizations collaboratively train a shared LLM on data they cannot pool, without a central coordinator. In every round,…
eess.AS2025
REVERB-FL: Server-Side Adversarial and Reserve-Enhanced Federated Learning for Robust Audio Classification
Sathwika Peechara, Rajeev Sahay
Federated learning (FL) enables a privacy-preserving training paradigm for audio classification but is highly sensitive to client heterogeneity and poisoning attacks, where adversa…