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