FDA-Opt unifies and improves upon FedOpt and FDA for communication-efficient federated fine-tuning of language models on NLP tasks, outperforming optimized FedOpt baselines.
Uveqfed: Universal vector quantization for federated learning,
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Communication-Efficient Federated Fine-Tuning
FDA-Opt unifies and improves upon FedOpt and FDA for communication-efficient federated fine-tuning of language models on NLP tasks, outperforming optimized FedOpt baselines.