most citedAuxo: Efficient Federated Learning via Scalable Client Clustering

8 citations · 8 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 8 cited

Auxo: Efficient Federated Learning via Scalable Client Clustering

Jiachen Liu, Fan Lai, Yinwei Dai +3

Federated learning (FL) is an emerging machine learning (ML) paradigm that enables heterogeneous edge devices to collaboratively train ML models without revealing their raw data to…

cs.LG2021

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

Fan Lai, Yinwei Dai, Sanjay S. Singapuram +4

We present FedScale, a federated learning (FL) benchmarking suite with realistic datasets and a scalable runtime to enable reproducible FL research. FedScale datasets encompass a w…