3 papers
cs.DC2026
CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
Nan Yang, Bahman Javadi, Rodrigo Neves Calheiros +2
Low Earth Orbit (LEO) mega-constellations extend the cloud-to-edge continuum into space, enabling satellite edge computing. However, Federated Learning (FL) in this environment is…
cs.AR2025
Towards High-Performance Network Coding: FPGA Acceleration With Bounded-value Generators
Jiaxin Qing, Philip H. W. Leong, Kin Hong Lee +1
Network coding enhances performance in network communications and distributed storage by increasing throughput and robustness while reducing latency. Batched Sparse (BATS) codes ar…
cs.LG2024
PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs
Binglei Lou, Richard Rademacher, David Boland +1
FPGAs have distinct advantages as a technology for deploying deep neural networks (DNNs) at the edge. Lookup Table (LUT) based networks, where neurons are directly modeled using LU…