I have a feeling that there must be client-server synchronization patterns out there. But i totally failed to google up one.
Situation is quite simple - server is th
You should look at how distributed change management works. Look at SVN, CVS and other repositories that manage deltas work.
You have several use cases.
Synchronize changes. Your change-log (or delta history) approach looks good for this. Clients send their deltas to the server; server consolidates and distributes the deltas to the clients. This is the typical case. Databases call this "transaction replication".
Client has lost synchronization. Either through a backup/restore or because of a bug. In this case, the client needs to get the current state from the server without going through the deltas. This is a copy from master to detail, deltas and performance be damned. It's a one-time thing; the client is broken; don't try to optimize this, just implement a reliable copy.
Client is suspicious. In this case, you need to compare client against server to determine if the client is up-to-date and needs any deltas.
You should follow the database (and SVN) design pattern of sequentially numbering every change. That way a client can make a trivial request ("What revision should I have?") before attempting to synchronize. And even then, the query ("All deltas since 2149") is delightfully simple for the client and server to process.