5 citations · 5 across the 3 of their papers we have counts for
9 papers
On the Tradeoff Between Computation and Communication Costs for Distributed Linearly Separable Computation
Kai Wan, Hua Sun, Mingyue Ji +1
This paper studies the distributed linearly separable computation problem, which is a generalization of many existing distributed computing problems such as distributed gradient de…
Coded Caching over Multicast Routing Networks
Mozhgan Bayat, Kai Wan, Giuseppe Caire
The coded caching scheme originally proposed by Maddah-Ali and Niesen (MAN) transmits coded multicast messages from a server to users equipped with caches via a capacitated shared-…
Topological Coded Distributed Computing
Kai Wan, Mingyue Ji, Giuseppe Caire
This paper considers the MapReduce-like coded distributed computing framework originally proposed by Li et al., which uses coding techniques when distributed computing servers exch…
Cache-Aided Modulation for Heterogeneous Coded Caching over a Gaussian Broadcast Channel
Mozhgan Bayat, Kai Wan, Mingyue Ji +1
Coded caching is an information theoretic scheme to reduce high peak hours traffic by partially prefetching files in the users local storage during low peak hours. This paper consi…
An Index Coding Approach to Caching with Uncoded Cache Placement
Kai Wan, Daniela Tuninetti, Pablo Piantanida
Caching is an efficient way to reduce network traffic congestion during peak hours, by storing some content at the user's local cache memory, even without knowledge of user's later…
On Optimal Load-Memory Tradeoff of Cache-Aided Scalar Linear Function Retrieval
Kai Wan, Hua Sun, Mingyue Ji +2
Coded caching has the potential to greatly reduce network traffic by leveraging the cheap and abundant storage available in end-user devices so as to create multicast opportunities…