Asynchronous gradient push
We consider a multiagent framework for distributed optimization where each agent has
access to a local smooth strongly convex function, and the collective goal is to achieve …
access to a local smooth strongly convex function, and the collective goal is to achieve …
Gossip-based actor-learner architectures for deep reinforcement learning
Multi-simulator training has contributed to the recent success of Deep Reinforcement
Learning (Deep RL) by stabilizing learning and allowing for higher training throughputs. In …
Learning (Deep RL) by stabilizing learning and allowing for higher training throughputs. In …
P2PRISM-Peer to peer learning with individual prism for secure aggregation
Federated learning (FL) has made collaboration between nodes possible without explicit
sharing of local data. However, it requires the participating nodes to trust the server and its …
sharing of local data. However, it requires the participating nodes to trust the server and its …
Accelerated Distributed Directed Optimization With Time Delays
N Kasagatta Ramesh - 2021 - aaltodoc.aalto.fi
With the rise of various constraints in centralized frameworks, decentralized computing and
optimization have received major attention from the control community in recent times. In …
optimization have received major attention from the control community in recent times. In …