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Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025 Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold ICML 2025 EF21 with Bells & Whistles: Six Algorithmic Extensions of Modern Error Feedback JMLR 2025 EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025 ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression UAI 2025 LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics ICLR 2025 Memory-Efficient 4-bit Preconditioned Stochastic Optimization ICCV 2025 Safe-EF: Error Feedback for Non-smooth Constrained Optimization ICML 2025 SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process ICLR 2025 Towards Faster Decentralized Stochastic Optimization with Communication Compression ICLR 2025 Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024 Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach ICLR 2024 Distributed Bilevel Optimization with Communication Compression ICML 2024 Error Feedback Can Accurately Compress Preconditioners ICML 2024 Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants ICLR 2024 Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024 PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ICLR 2024 2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression NeurIPS 2023 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023 Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023 Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023 Momentum Provably Improves Error Feedback! NeurIPS 2023 On Biased Compression for Distributed Learning JMLR 2023 Recognizing Learner Handwriting Retaining Orthographic Errors for Enabling Fine-Grained Error Feedback ACL 2023 3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation ICML 2022