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20162021
most citedDistillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data

351 citations · 591 across the 22 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.NI2021★ 25 cited

Decentralized and Model-Free Federated Learning: Consensus-Based Distillation in Function Space

Akihito Taya, Takayuki Nishio, Masahiro Morikura +1

This paper proposes a fully decentralized federated learning (FL) scheme for Internet of Everything (IoE) devices that are connected via multi-hop networks. Because FL algorithms h…

cs.LG2021★ 1 cited

Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires through Robust Adversarial Reinforcement Learning

Masao Shinzaki, Yusuke Koda, Koji Yamamoto +5

Millimeter wave (mmWave) beam-tracking based on machine learning enables the development of accurate tracking policies while obviating the need to periodically solve beam-optimizat…