Straggler-Resilient Differentially-Private Decentralized Learning
We consider the straggler problem in decentralized learning over a logical ring while preserving user data privacy. Especially, we extend the recently proposed framework of differential privacy (DP) amplification by decentralization by Cyffers and Bellet to include overall training latencycomprising both computation and communication latency.