FLTorrent achieves within-round source unlinkability in serverless federated learning via a BitTorrent warm-up phase that bounds attribution success near random guessing while adding only 6-10% round-time overhead.
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent
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Privacy-preserving Chunk Scheduling in a BitTorrent Implementation of Federated Learning
FLTorrent achieves within-round source unlinkability in serverless federated learning via a BitTorrent warm-up phase that bounds attribution success near random guessing while adding only 6-10% round-time overhead.