3 citations · 4 across the 5 of their papers we have counts for
5 papers
Connecting Independently Trained Modes via Layer-Wise Connectivity
Yongding Tian, Zaid Al-Ars, Maksim Kitsak +1
Empirical studies have shown that continuous low-loss paths can be constructed between independently trained neural network models. This phenomenon, known as mode connectivity, ref…
Vanishing Variance Problem in Fully Decentralized Neural-Network Systems
Yongding Tian, Zaid Al-Ars, Maksim Kitsak +1
Federated learning and gossip learning are emerging methodologies designed to mitigate data privacy concerns by retaining training data on client devices and exclusively sharing lo…
An Intermediate Representation for Composable Typed Streaming Dataflow Designs
Matthijs A. Reukers, Yongding Tian, Zaid Al-Ars +4
Tydi is an open specification for streaming dataflow designs in digital circuits, allowing designers to express how composite and variable-length data structures are transferred ov…
Tydi-lang: a language for typed streaming hardware -- A manual for future Tydi-lang compiler developers
Yongding Tian, Zaid Al-Ars, Peter Hofstee
Transferring composite data structures with variable-length fields often requires designing non-trivial protocols that are not compatible between hardware designs. When each projec…
Tydi-lang: A Language for Typed Streaming Hardware
Yongding Tian, Matthijs A. Reukers, Zaid Al-Ars +4
Transferring composite data structures with variable-length fields often requires designing unique protocols, causing incompatibility issues and decreased collaboration among hardw…