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Federated Learning Priorities Under the European Union Artificial Intelligence Act
The age of AI regulation is upon us, with the European Union Artificial Intelligence Act (AI Act) leading the way.
A Survey on Efficient Federated Learning Methods for Foundation Model Training
We discuss the benefits and drawbacks of parameter-efficient fine-tuning (PEFT) for FL applications, elaborate on the readiness of FL frameworks to work with FMs and provide future research opportunities on how to evaluate generative models in FL as well as the interplay of privacy and PEFT.
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
Large Language Models (LLM) and foundation models are popular as they offer new opportunities for individuals and businesses to improve natural language processing, interact with data, and retrieve information faster.
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
Federated Machine Learning (FL) has received considerable attention in recent years.
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