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LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning
We leverage shared memory processing to achieve high-performance communication for hierarchical aggregation, which is commonly adopted to speed up FL aggregation at scale.
Spatial Sharing of GPU for Autotuning DNN models
Spatial sharing of GPU enables multiplexing several DNNs on the GPU and can improve GPU utilization, thus improving throughput and lowering latency.
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