Secure Aggregation
PulseAugur coverage of Secure Aggregation — every cluster mentioning Secure Aggregation across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Gradient leakage attacks threaten GNNs in circuit design
A new research paper details the first comprehensive evaluation of gradient leakage attacks (GLAs) on graph neural networks (GNNs) used in circuit design and hardware security. The study reveals that GLAs can expose sen…
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Federated learning advances boost privacy and cut communication costs
Researchers have developed new methods to enhance privacy and efficiency in federated learning. One approach focuses on reducing communication costs by using top-K gradient sparsification, which transmits only essential…
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FedAttr protocol enables privacy-preserving attribution in federated LLM fine-tuning
Researchers have developed FedAttr, a novel protocol designed to identify which clients in a federated learning setup have used watermarked data for fine-tuning large language models. This method addresses challenges in…