Pages that link to "Item:Q4567086"

The following pages link to Convergence of Asynchronous Distributed Gradient Methods Over Stochastic Networks (Q4567086):

Displaying 34 items.

• Distributed constrained stochastic subgradient algorithms based on random projection and asynchronous broadcast over networks (Q1992405) (← links)
• Parallel alternating direction method of multipliers (Q1999014) (← links)
• Distributed decision-coupled constrained optimization via proximal-tracking (Q2059328) (← links)
• Fully asynchronous policy evaluation in distributed reinforcement learning over networks (Q2063869) (← links)
• Surplus-based accelerated algorithms for distributed optimization over directed networks (Q2097723) (← links)
• Triggered gradient tracking for asynchronous distributed optimization (Q2103702) (← links)
• Gradient-free distributed optimization with exact convergence (Q2165968) (← links)
• Decentralized proximal splitting algorithms for composite constrained convex optimization (Q2170762) (← links)
• A unitary distributed subgradient method for multi-agent optimization with different coupling sources (Q2174029) (← links)
• Tracking-ADMM for distributed constraint-coupled optimization (Q2184513) (← links)
• Distributed algorithms for computing a fixed point of multi-agent nonexpansive operators (Q2208608) (← links)
• Distributed nonsmooth convex optimization over Markovian switching random networks with two step-sizes (Q2235612) (← links)
• Asynchronous Adaptation and Learning Over Networks—Part II: Performance Analysis (Q4579732) (← links)
• Multitask Diffusion Adaptation Over<?Pub _newline ?>Asynchronous Networks (Q4619582) (← links)
• Asynchronous Distributed Optimization Over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence (Q5002067) (← links)
• On the convergence of exact distributed generalisation and acceleration algorithm for convex optimisation (Q5026632) (← links)
• Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach (Q5036202) (← links)
• Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation (Q5071108) (← links)
• (Q5148925) (← links)
• The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory (Q5197680) (← links)
• Push–Pull Gradient Methods for Distributed Optimization in Networks (Q5853980) (← links)
• High-dimensional \(M\)-estimation for Byzantine-robust decentralized learning (Q6068679) (← links)
• A resilient distributed optimization strategy against false data injection attacks (Q6078841) (← links)
• Distributed continuous‐time constrained convex optimization with general time‐varying cost functions (Q6089867) (← links)
• S-NEAR-DGD: A Flexible Distributed Stochastic Gradient Method for Inexact Communication (Q6093049) (← links)
• Distributed convex optimization as a tool for solving \(f\)-consensus problems (Q6109979) (← links)
• DIMIX: Diminishing Mixing for Sloppy Agents (Q6161307) (← links)
• Dynamics based privacy preservation in decentralized optimization (Q6163983) (← links)
• Gradient-tracking based differentially private distributed optimization with enhanced optimization accuracy (Q6165323) (← links)
• Synchronous distributed ADMM for consensus convex optimization problems with self-loops (Q6205036) (← links)
• Cooperative distributed extremum seeking control for coupled multiagent systems based on distributed identification-gradient tracking (Q6498014) (← links)
• Sampled-data-based disturbance compensation distributed optimization control for a class of multi-agent systems (Q6577228) (← links)
• Distributed event-triggered algorithm for unconstrained convex optimisation over weight-balanced directed networks (Q6598711) (← links)
• Optimal gradient tracking for decentralized optimization (Q6608029) (← links)