2.9k citations · 4.1k across the 30 of their papers we have counts for
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cs.LG2021★ 108 cited
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji, Yue Tan, Teemu Saravirta +6
Federated learning is a new learning paradigm that decouples data collection and model training via multi-party computation and model aggregation. As a flexible learning setting, f…
cs.LG2020★ 81 cited
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
Shaoxiong Ji, Wenqi Jiang, Anwar Walid +1
Federated learning (FL) is a novel machine learning setting that enables on-device intelligence via decentralized training and federated optimization. Deep neural networks' rapid d…