… In Section II, we formulate the multi-agent stochastic optimization problem with quantized
communications. In Section III, we study quantized decentralized stochastic optimization with …

… of decentralized stochastic optimization. In this paper, we propose a decentralized stochastic
optimization … of aggressive quantization errors that are proportional to the amplitude of …

… The impact of quantization on personalized multi-agent decentralized … interested in formulating
multi-agent finite-sum optimization problems with pairwise constraints and introducing the …

… function subject to all the pairwise constraints. This is to be … the existing works on decentralized
optimization with quantized/… of decentralized multi-agent stochastic optimization on a …

… Stochastic Optimization. We assume that the agents wish to jointly minimize a d-dimensional,
differentiable function f : Rd → R. Specifically, we will assume the empirical risk …

… local optimization steps, a node can initiate a pairwise interaction with a uniform random
neighbor… Stochastic Optimization. We assume that the agents wish to minimize a d-dimensional, …

We consider the fully decentralized multi-agent reinforcement learning (MARL) problem, where
the agents are connected via a time-varying and possibly sparse communication network…

… We compare the pairwise and the broadcast gossip schemes. Note that we only plot the result
… decentralized detection, quantization, stochastic optimization, and applications of random …

… Fully decentralized policies for multi-agent systems: An information theoretic approach. In
Advances in Neural Information Processing Systems, pages 2945–2954, 2017. …

… They appear to behave in a decentralized, asynchronous manner yet manage to reach a …
A large group of people can make decisions in a decentralized way to form a pattern. In Fig. …