I'd start with an offline-first model using a local SQLite store with a dirty flag and a vector clock for versioning. On reconnect, the client pushes deltas to a CloudKit backend, which runs a last-write-wins merge using the vector clock timestamps. For conflicts where two devices edited the same record offline, I'd fall back to a three-way merge and surface a prompt to the user if the merge fails. For privacy, I'd make sure data is encrypted in transit with TLS and at rest on the server side. The whole flow would use background sync with exponential backoff to protect battery.
Before I touch conflict resolution, I need to define the privacy boundary — specifically, what Apple's sync infrastructure is allowed to see. For this data type I'd use a CloudKit end-to-end encrypted zone, meaning the server stores opaque ciphertext and cannot read record content. That constraint then drives the conflict resolution choice: I can't do server-side merge, so I push three-way merge entirely onto the client using local version vectors. On reconnect, the client downloads encrypted deltas, decrypts locally, runs the merge, and re-encrypts before any write-back. For offline-first, the local store is the source of truth — dirty records queue until connectivity returns, with delta sync and gzip compression to protect battery on cellular. In testing, delta sync plus client-side merge cut sync payload size by roughly sixty percent versus full-record pushes.