Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo.
Yunchuan ZhangDongzhu LiuOsvaldo SimeonePublished in: CoRR (2022)
Keyphrases
- monte carlo
- importance sampling
- adaptive sampling
- markov chain
- monte carlo simulation
- privacy preserving
- monte carlo tree search
- noise level
- monte carlo methods
- markov chain monte carlo
- noisy data
- signal to noise ratio
- markovian decision
- point processes
- matrix inversion
- monte carlo method
- particle filter
- variance reduction
- game tree
- simulation study
- missing data
- global illumination
- optimal strategy
- stochastic approximation
- temporal difference
- dynamic programming