27 citations · 65 across the 11 of their papers we have counts for
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cs.LG2026
Adaptive Determinantal Client Scheduling in Federated Learning
Wen Xu, Ben Liang, Gary Boudreau +1
Scheduling clients for model training is critical in federated learning due to both data and system heterogeneity. Most previous works focus on the quality of the scheduled clients…
cs.LG2026
Adaptive Data Admission and Retention for Streaming Federated Learning
Zhuoyi Zhao, Ben Liang
We study streaming federated learning with limited client memory, where newly generated training data incur time-varying sampling costs and must be selectively admitted and retaine…