H. Peter Hofstee

An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic

2020 · Journal of Signal Processing Systems

Abstract To best leverage high-bandwidth storage and network technologies requires an improvement in the speed at which we can decompress data. We present a “refine and recycle” method applicable to LZ77-type decompressors that enables efficient …

Vanishing Variance Problem in Fully Decentralized Neural-Network Systems

2024 · arXiv (Cornell University)

Federated learning and gossip learning are emerging methodologies designed to mitigate data privacy concerns by retaining training data on client devices and exclusively sharing locally-trained machine learning (ML) models with others. The primary distinction between …