Distributed Optimization and Games (DOG) by Giovanni Neglia

Understand existing distributed algorithms in communication networks, engineer new distributed protocols, and learn how local interactions among agents in a network have global effects. The course offers short tests, examples, case studies, and take-home lessons, focusing on techniques and concepts for similar problems. Resources include book chapters on stochastic networks and network optimization, slides, and evaluation criteria involving tests, scribing notes, homework, and a final exam.

• Distributed Optimization
• Games
• Communication Networks
• Algorithms
• Global Effects

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1. Distributed Optimization and Games (DOG) Giovanni Neglia

2. Goal Make you understand existing distributed algorithms in communication networks Provide you with some hints about how to engineer new distributed protocols

3. Goal Make you understand how local interactions among agents in a network have a global effect Biology Economy

4. Info http://www-sop.inria.fr/members/Giovanni.Neglia/dog15/ (also look at 2014 course to know what s coming) giovanni.neglia@inria.fr

5. Every lesson A short test (10-15 minutes) about the previous lesson Some specific examples/case studies take-home lessons Techniques/concepts to study similar problems

6. Resources (all available online!) 1) Book chapters Kelly&Yudovina, Stochastic networks Srinivas Shakkottai and R. Srikant, Network Optimization and Control, David Easley and Jon Kleinberg, Networks, Crowds, and Markets J. R. Marden and J.S. Shamma, Game Theory and Distributed Control 2) Slides 3) Your notes

7. Evaluation in-class closed-book tests, top 4 out of 5 marks will count for 15% of the final mark scribe notes, 2-person teams will make notes available for lessons 3, 4, 6, 7 (15% final mark) 1 homework to be delivered before lesson 6 (15% final mark) Final exam (55% final mark)