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Totoro$^+$

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Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System

Announce Type: replace Abstract: Federated Learning (FL) is an emerging distributed machine learning (ML) technique that enables in-situ model training and inference on decentralized edge devices. We propose Totoro$^+$, a novel scalable FL system that enables massive FL applications to run simultaneously on edge networks. The key insight is to explore a distributed hash table (DHT)-based peer-to-peer (P2P) model to re-architect the centralized FL system design into a fully decentralized one.

arXiv CS 8d ago

Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System

arXiv:2605.26323v3 Announce Type: replace Abstract: Federated Learning (FL) is an emerging distributed machine learning (ML) technique that enables in-situ model training and inference on decentralized edge devices. We propose Totoro$^+$, a novel scalable FL system that enables massive FL applications to run simultaneously on edge networks. The key insight is to explore a distributed hash table (DHT)-based peer-to-peer (P2P) model to re-architect the centralized FL system design into a fully...

arXiv CS 1d ago