1902.06101
arxiv.org · 7,629 words · saved by 1 readers
N/A
Local Differential Privacy in Decentralized Optimization Hanshen Xiao ∗1 , Yu Ye †2 , and Srinivas Devadas ‡1 1 CSAIL MIT 2 School of Electrical Engineering and Computer Science, KTH June 4, 2019 arXiv:1902.06101v2 [math.OC] 1 Jun 2019…
related reading
- [2605.01172] A Theory of Generalization in Deep Learningarxiv.org
- [1906.01820] Risks from Learned Optimization in Advanced Machine Learning Systemsarxiv.org
- [2605.15522] Stochastic Non-Smooth Convex Optimization with Unbounded Gradientsarxiv.org
- [1707.06347] Proximal Policy Optimization Algorithmsarxiv.org
- prox_algs.pdfweb.stanford.edu
- arxiv.org/pdf/1805.08522arxiv.org
- [1605.08101] Global rates of convergence for nonconvex optimization on manifoldsarxiv.org
- An optimization perspective on log-concave sampling and beyond | Sinho Chewichewisinho.github.io
- Universal Complexity Bounds for Universal Gradient Methods in Nonlinear Optimizationarxiv.org
- 20251202_haupt_hitzig_cp.pdfstatic1.squarespace.com
- [2506.22401] Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RLarxiv.org
- [2604.04891] Muon Dynamics as a Spectral Wasserstein Flowarxiv.org