Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Review Oct 2026

FederatedBytes: Tokenizer-Free, Byte-Level Small Language Models for Efficient Multimodal Federated Learning

Federated Learning (FL) is a powerful machine learning framework that allows building a global model from the contributions of multiple, distributed clients, while ensuring the privacy of their local data. However, its heavy computational and communication overheads challenge its use for contemporary AI workloads such...

Ali Sarabadani, Massimo Piccardi, M. Abolhasan et al. · 0 citations
#large language models Book Open access Nov 2026

Beyond Known Speakers: Enhancing Spoofing Detection Generalization with VIVED

Recent speech synthesis systems have moved beyond conventional voice cloning toward the generation of expressive, text-described virtual identities. This shift creates a generalization challenge for spoofing countermeasures trained primarily on cloned speech from a limited pool of reference speakers and relatively neut...

Wen-Bin Wang, Zi Xing, Mukesh Prasad et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.