Author

Harikrishna S. Kuttivelil

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Preprint Oct 2026

SPADE-KD: Peer-to-Peer Collaborative Learning under Heterogeneous Settings

Peer-to-peer collaborative learning is an emerging distributed deep learning paradigm that eliminates the need for a central aggregator and disseminator, avoiding the single-point-of-failure and bottleneck issues they can bring. Many such approaches use parameter averaging, requiring clients to have homogeneous model a...

Harikrishna S. Kuttivelil, Katia Obraczka · 0 citations

#artificial intelligence Preprint Sep 2026

Convergence Theory of Knowledge Distillation in Asynchronous P2P Gossip Learning Network

This work relocating consensus from parameter space to function (output) space is provided, relocating consensus from parameter space to function (output) space: a KD event is a geometric contraction operator in logit space on the peers' predictive distributions, which is analysed in the Hilbert space of predictions on...

Lucas Qingyang Fang, Ti-Yao Liu, Jinhao Jing et al. · 0 citations