26 citations · 46 across the 4 of their papers we have counts for
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cs.LG2020★ 15 cited
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
Jin-woo Lee, Jaehoon Oh, Yooju Shin +2
Federated learning has emerged as a new paradigm of collaborative machine learning; however, it has also faced several challenges such as non-independent and identically distribute…
cs.LG2020★ 5 cited
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits
Taehyeon Kim, Sangmin Bae, Jin-woo Lee +1
Federated learning has emerged as an innovative paradigm of collaborative machine learning. Unlike conventional machine learning, a global model is collaboratively learned while da…
cs.LG2020★ 26 cited
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
Jin-woo Lee, Jaehoon Oh, Sungsu Lim +2
Federated learning has emerged as a new paradigm of collaborative machine learning; however, many prior studies have used global aggregation along a star topology without much cons…