Two-Stage Robust Combinatorial Optimization with Priced Scenarios. - Roman Rischke (OR, 2013)

Stochastic and Robust Scheduling in the Cloud. - Lin Chen 009; Nicole Megow; Roman Rischke; Leen Stougie (APPROX-RANDOM, 2015)

Optimal Algorithms and a PTAS for Cost-Aware Scheduling. - Lin Chen 009; Nicole Megow; Roman Rischke; Leen Stougie; José Verschae (MFCS (2), 2015)

Complexity of interval minmax regret scheduling on parallel identical machines with total completion time criterion. - Maciej Drwal; Roman Rischke (Oper. Res. Lett., 2016)

Deterministic, Stochastic, and Robust Cost-Aware Scheduling. - Roman Rischke (2016)

Intra Picture Prediction for Video Coding with Neural Networks. - Philipp Helle; Jonathan Pfaff; Michael Schäfer 003; Roman Rischke; Heiko Schwarz; Detlev Marpe; Thomas Wiegand 001 (DCC, 2019)

Scheduling maintenance jobs in networks. - Fidaa Abed; Lin Chen 009; Yann Disser; Martin Groß 001; Nicole Megow; Julie Meißner; Alexander T. Richter; Roman Rischke (Theor. Comput. Sci., 2019)

Communication-Efficient Federated Distillation. - Felix Sattler; Arturo Marbán; Roman Rischke; Wojciech Samek (CoRR, 2020)

Optimal algorithms for scheduling under time-of-use tariffs. - Lin Chen 009; Nicole Megow; Roman Rischke; Leen Stougie; José Verschae (Ann. Oper. Res., 2021)

FedAUXfdp: Differentially Private One-Shot Federated Distillation. - Haley Hoech; Roman Rischke; Karsten Müller 001; Wojciech Samek (FL@IJCAI, 2022)

CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding. - Felix Sattler; Arturo Marbán; Roman Rischke; Wojciech Samek (IEEE Trans. Netw. Sci. Eng., 2022)

FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning. - Felix Sattler; Tim Korjakow; Roman Rischke; Wojciech Samek (IEEE Trans. Neural Networks Learn. Syst., 2023)