2 papers
cs.LG2026
Dynamic Graph World Modelling: Learning Future Dynamics from Temporal Context
Bo Li, Yue Yang, Yujin Huang +6
Dynamic graph learning models how entities and their relations evolve from historical observations to predict future graph states. Existing methods do not fully address dynamic gra…
cs.DC2026
Not Every Sync Is Safe: Calibrated DiLoCo Scheduling for Shared AI Infrastructure
Maxwell Twelftree, David Lemphers, An-chi He +1
DiLoCo-style training reduces communication by letting learner islands train locally before occasional outer synchronization, making it attractive for fragmented industrial AI flee…