1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Enabling Federated Inference via Unsupervised Consensus Embedding
Yui Hashimoto, Takayuki Nishio, Yuichi Kitagawa +1
Cooperative inference across independently deployed machine learning models is increasingly desirable in distributed environments, as there is a growing need to leverage multiple m…
cs.LG2026★ 1 cited
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation
Kitsuya Azuma, Takayuki Nishio, Yuichi Kitagawa +2
Federated Learning (FL) enables collaborative model training across decentralized clients, enhancing privacy by keeping data local. Yet conventional FL, relying on frequent paramet…