Post
Replies
Gensyn has open-sourced the code for RL Swarm, and anyone can run a node, start or join an existing Swarm without permission. Swarm's underlying communication uses the gossip protocol provided by Hivemind, which supports decentralized messaging and learning signal sharing between models. Whether it is a home laptop or a cloud GPU, you can participate in collaborative training by joining an RL Swarm node.
Based on the RL Swarm system, the model not only relies on its own feedback, but also identifies its own shortcomings and optimizes them by observing and evaluating the performance of other models. Each model node that joins Swarm is participating in a three-stage process: first, it independently completes the problem and outputs ideas and answers, then checks the answers of other nodes and provides feedback, and finally the model votes for the best solution and corrects its output accordingly. This collaborative mechanism not only improves the performance of each model, but also promotes the evolution of the entire group model. Models that join Swarm can still retain the improved local weights after leaving and obtain actual benefits.
Gensyn believes that the future of machine learning is no longer limited to traditional monolithic models, but consists of fragmented parameters distributed across devices around the world. To achieve this goal, the Gensyn team has developed an underlying execution architecture that ensures consistency across devices.
In large-scale distributed training scenarios, efficient communication between nodes is crucial. Although traditional data parallel methods can reduce communication overhead to a certain extent, their scalability is limited by memory because each node is required to store the complete model. To this end, Gensyn proposed a new solution
In a distributed network without trust, how to confirm that the calculation results submitted by each participant are authentic and valid is a major challenge. Gensyn has introduced a special verification protocol to ensure that all computing power providers provide correct work results through a low-cost and efficient mechanism.