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cs.DC2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets
Hongpeng Guo, Haotian Gu, Xiaoyang Wang +5
Federated learning (FL) is a machine learning paradigm that allows multiple clients to collaboratively train a shared model while keeping their data on-premise. However, the stragg…
cs.DC2021
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation
Xinheng Liu, Yao Chen, Prakhar Ganesh +3
Quantization for Convolutional Neural Network (CNN) has shown significant progress with the intention of reducing the cost of computation and storage with low-bitwidth data inputs.…