1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
BlazeFL: Fast and Deterministic Federated Learning Simulation
Kitsuya Azuma, Takayuki Nishio
Federated learning (FL) research increasingly relies on single-node simulations with hundreds or thousands of virtual clients, making both efficiency and reproducibility essential.…
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…