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cs.AI2026
FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors in Heterogeneous Federated LoRA
Juseok Jeon, Ramy E. Ali, Doyun Kwon +3
Low-Rank Adaptation (LoRA) enables efficient federated fine-tuning of large language models, but its factorized parameterization creates a tension between accurate aggregation of l…
cs.NI2026
LightTune: Lightweight Forward-Only Online Fine-Tuning with Applications to Link Adaptation
Ramy E. Ali, Federico Penna
Deploying machine learning (ML) algorithms on mobile phones is bottlenecked by performance degradation under dynamic, real-world conditions that differ from the offline training co…