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The Power of Super-Log Number of Players The Power of Super-Log Number of Players

The Power of Super-Log Number of Players - PowerPoint Presentation

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Uploaded On 2016-09-12

The Power of Super-Log Number of Players - PPT Presentation

Arkadev Chattopadhyay TIFR Mumbai Joint with Michael Saks Rutgers A Conjecture f01 n 01 0 1 1 1 1 1 1 1 1 0 ID: 465046

maj log protocol good log maj good protocol cost sym simultaneous deg texpoint basis player phigh bad lokam

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Slide1

The Power of Super-Log Number of Players

Arkadev

Chattopadhyay

(TIFR, Mumbai)

Joint with:

Michael Saks

(

Rutgers

)Slide2

A Conjecture

f:{0,1}

n

! {0,1}

0

11111111011010111100..............1111110

X1

X2

X3

X

k

(f±g) (X1,X2,,Xk) =

) MAJ ± MAJ  ACC0

1

1

0

1

0

0

0

f(g(C1),g(C2),…,g(Cn))

n

Question:

Complexity of (MAJ

± MAJ)?

Observation:

a

la Beigel-Tarui’91

) MAJ  ACC0

Proposed by

Babai-Kimmel-Lokam’95

g

:{0,1}

k

!

{0,1} .Slide3

TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.:

A

AAAAA

A

Some Upper BoundsSYM ± AND {GIP, Disj,…} Popular NamesSYM ± g {GIP, MAJ ± MAJ, Disj…}

DeterministicO (n/2k

+ k¢ log n ). O(k.(log n)2), k ¸ log n + 2.Grolmusz’91, PudlakBabai-Gal-Kimmel-Lokam’02k ¸ 3Ada-C-Fawzi-Nguyen’12g: compressible and symmetric SYM ± ANY SimultaneousSimultaneousAlmost- Simultaneous O(k.(log n)2), k ¸ log n + 4.Slide4

Block Composition

f:{0,1}

n

! {0,1}

0

11111110111011110............111110X1X2 X3 Xk(fn±gr) (X1,X2,,Xk) =) MAJ  ACC0f(g(A1),g(A2),…,g(An))n = 2r = 3Conjecture: Fact: Babai-Gal-Kimmel-Lokam’02g:{0,1}k£r ! {0,1}.

Still Open!

A

1A2

Even for interactive protocolsSlide5

TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.:

A

AAAAA

A

Our ResultTheorem: SYMn ± ANYr has a 2-round k-party deterministic protocol of cost when,

Remark 1:

First protocol for r > 1. Remark 2: Corollary: MAJ ± MAJr has efficient protocol when r is poly-log and k is a sufficiently large poly-log. r = O(log log n)Slide6

Main Ingredients

Computing k-1 degree polynomials is easy for k-players.

(Goldman-Hastad’90’s)Degree reduction by basis change. (New Idea)Slide7

Low degree Polynomials

x

3

x

5

x7 Alice Bobx6 x10 x11x2 x8 x9Charlie Alexx1 x4 x12Bob, CharlieAliceAlexAlice, CharlieBob, Alexdeg(P) = 3k = 4 > deg(P) Simultaneous k-partydeterministic protocolCost = O(k¢ log|F|)Slide8

A Polynomial Fantasy

f:{0,1}

n

! {0,1}

(SYM

± g) (C1,C2,,Cn) =Fantasy: Phigh(Ci) = 0 for all i !!g:{0,1}k ! {0,1} µ Fp .Prime p > ng(X) ´ P(X1,,Xk)deg(P) · kP ´ Phigh(X) + Plow(X)deg < kdeg = keasy k-player protocolof cost = k.log(p) Bad Slide9

Shifted Basis

0

1

1

0

001101111000Example:Fact: Bu is a basis for every u 2 {0,1}ku = 0k gives standard basis u-shiftedADef: u is good for A if for all column C of A, u and C agree onsome co-ordinate.1000good0101badno agreementSlide10

Good is Really Good

(SYM

±

g) (C1,C2,,Cn) =Fact: Phigh(C) = 0 for all C if u is good for A.

easy k-player protocol

of cost log(p) Bad uApply u -shift uuZeroed out!Slide11

Good Shifts Are Aplenty

Observation:

If

k À log n + 1, Player k spots many good shifts. Protocol: Player k announces a good shift u.All players compute their portions using u.

Simultaneous!

Cost = k - 1Cost = k¢ log(p) = O(

k¢ log n)

Extends to r = O(log log n).Slide12

Future Direction

Can we go to r = O(log n)?

Is ?

Thank You!