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Efficient probabilistically checkable proofs and applications to approximation
 In Proceedings of STOC93
, 1993
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Optimal File Sharing in Distributed Networks
, 1991
"... The following le distribution problem is considered: Given a network of processors represented by an undirected graph G = (V; E), and a le size k, an arbitrary le w of k bits is to be distributed among all nodes of G. To this end, each node is assigned a memory device such that, by accessing the mem ..."
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Cited by 31 (2 self)
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The following le distribution problem is considered: Given a network of processors represented by an undirected graph G = (V; E), and a le size k, an arbitrary le w of k bits is to be distributed among all nodes of G. To this end, each node is assigned a memory device such that, by accessing the memory of its own and of its adjacent nodes, the node can reconstruct the contents of w. The objective is to minimize the total size of memory in the network. This paper presents a le distribution scheme which realizes this objective for k log G, where G stands for the maximum degree in G: For this range of k, the total memory size required by the suggested scheme approaches an integer programming lower bound on that size. The scheme is also constructive in the sense that, given G and k, the memory size at each node in G, as well as the mapping of any le w into the node memory devices, can be computed in time complexity which is polynomial in k and jV j. Furthermore, each node can reconstruct the contents of such a le w in O(k 2) bit operations. Finally, it is shown that the requirement of k being much larger than log G is necessary in order to have total memory size close to the integer programming lower bound.
NoiseTolerant DistributionFree Learning of General Geometric Concepts
, 1996
"... this paper. First, we give an algorithm to learn C ..."
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Cited by 19 (3 self)
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this paper. First, we give an algorithm to learn C