Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3246126
Abstract: Federated Learning (FL) is a machine learning technique in which collaborative and distributed learning is performed, while the private data reside locally on the client. Rather than the data, only gradients are shared among all… read more here.
Keywords: federated learning; blockchain based; gradient leakage; based swarm ... See more keywords
Securing Distributed SGD Against Gradient Leakage Threats
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2023.3273490
Abstract: This paper presents a holistic approach to gradient leakage resilient distributed Stochastic Gradient Descent (SGD). First, we analyze two types of strategies for privacy-enhanced federated learning: (i) gradient pruning with random selection or low-rank filtering… read more here.
Keywords: securing distributed; privacy; gradient leakage; gradient ... See more keywords