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TR10-083 | 13th May 2010
Mark Braverman, Anup Rao

#### Efficient Communication Using Partial Information

Revisions: 1

We show how to efficiently simulate the sending of a message M to a receiver who has partial information about the message, so that the expected number of bits communicated in the simulation is close to the amount of additional information that the message reveals to the receiver.

We ... more >>>

TR20-139 | 11th September 2020
Mark Braverman, Sumegha Garg, David Woodruff

#### The Coin Problem with Applications to Data Streams

Consider the problem of computing the majority of a stream of $n$ i.i.d. uniformly random bits. This problem, known as the {\it coin problem}, is central to a number of counting problems in different data stream models. We show that any streaming algorithm for solving this problem with large constant ... more >>>

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