Giorgos Tatsis
1 indexed paper
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126
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Crypto×1Distributed×1ML×1
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2026
DisAgg: Distributed Aggregators for Efficient Secure Aggregation in Federated Learning
DisAgg introduces a novel secure aggregation protocol that uses a small committee of Aggregators to compute partial sums, achieving a significant speedup (4.6x) over previous state-of-the-art methods like OPA while maintaining privacy.
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