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Turns out, federated learning with PEFT doesn't protect your LLM training data as well as you thought: FedSpy-LLM can reconstruct surprisingly long sequences from shared gradients, even across different model architectures.
Dataset distillation can be sped up by 18x on ImageNet-1K without sacrificing accuracy by focusing optimization on high-loss regions.
