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EcoFed is a communication-efficient framework for DNN partitioning-based federated learning (DPFL) systems that reduces the need to transfer gradients by initializing pre-trained models on devices, improving accuracy and reducing communication overhead. It introduces a novel replay buffer mechanism and uses quantization-based compression to minimize activation data transmission between devices and servers - Github
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DeepGlint Ltd., Algorithm Engineer, Sep. 2018 - Dec. 2019, DNN Pruning, Quantization, Knowledge Distillation, Reinforcement Learning.
ZhiWei Ltd., Data Engineer, Jun. 2015 - Jun. 2017, Social Media Data Mining.