Ali H. Sayed
Full Professor
Leads the Adaptive Systems Laboratory, studying adaptation and learning over networks, including distributed and multi-agent learning.
Ali H. Sayed's lab at EPFL works on reasoning & neuro-symbolic AI, planning, control & multi-robot systems and distributed, cloud & edge systems. 80 papers since 2023, 27 at top venues, mostly ICASSP and ICML. 3 PhD students. 33 alumni, most often to Amazon and ASIC design at Celestial AI. Applications close .
At a glance
- papers, 2023–2026
- 21/ year
- at T1 venues
- 34%
- PhD students
- 3
- MS students
- 0
- alumni listed
- 33
Papers by yearfrom the lab homepage, 2023–2026
- 19 papers2026 · T1 9 · collecting
- 19 papers2025 · T1 6
- 18 papers2024 · T1 4
- 24 papers2023 · T1 8
T1 venuesOtherVenues: ICASSP, ICML, ISIT, COLT, JMLR
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems9 papers
- Planning, control & multi-robot systems8 papers
- Reasoning & neuro-symbolic AI0 papers
- adaptive systems0 papers
- systems laboratory0 papers
Paper list
From the lab homepage.
202619 papers
- ISITAccelerated gradient-free decentralized stochastic optimization
- IEEE Trans. Aut. ControlAccelerated stochastic min-max optimization based on bias-corrected momentum
- JMLR (T1)Causal influences over social learning networks
- ICASSP (T1)Decentralized learning of decision models for classification with dependent agents
- IEEE Trans. Signal ProcessingDecentralized primal-dual learning over directed graphs
- IEEE Trans. Signal ProcessDiffusion learning with partial agent participation and local updates
- IEEE Trans. Signal ProcessDiffusion stochastic learning over adaptive competing networks
- ICASSP (T1)Diffusion stochastic learning over multi-team network games
- IEEE Trans. Signal ProcessingDoubly adaptive social learning
- ICML (T1)High-probability convergence guarantees of decentralized SGD
- IEEE Open J. Control SystemsMulti-agent off-policy actor-critic reinforcement learning for partially observable environments
- ICASSP (T1)Non-Bayesian social learning for modeling interacting large language model agents
202519 papers
- IEEE Transactions on Signal ProcessingAdaptive social learning for slow Markov chains
- ICASSP (T1)Decentralized accelerated nonconvex minimax optimization via exact diffusion
- IEEE Trans. Information TheoryDecentralized adversarial training over graphs
- IEEE Trans. Signal ProcessingDifferential error feedback for communication-efficient decentralized learning
- ICASSP (T1)Diffusion learning over adaptive competing networks
- IEEE Transactions on Signal ProcessingDiffusion stochastic optimization for min-max problems
- ICASSP (T1)Fundamental social learning scaling law for tracking hidden Markov models
- IEEE Trans. Neural Networks and Learning SystemsGraph exploration for effective multi-agent Q-learning
- IEEE J. Open Signal ProcessingMinimizing the probability of error for decision making over graphs
- ICASSP (T1)Multi-agent reinforcement learning in partially observable environments using social learning
- Proc. EUSIPCOMultivariate belief formation for distribution multitask learning
- Signal ProcessingNon-asymptotic performance of social machine learning under limited data
202418 papers
- Proc. EUSIPCOAdaptive social learning for tracking rare transition Markov chains
- ICASSP (T1)Asynchronous diffusion learning with agent subsampling and local updates
- ISITCausal impact analysis for asynchronous decision making
- IEEE Transactions on Signal ProcessingCausal influence in federated edge inference
- IEEE Trans. Signal and Information Processing over NetworksCompressed regression over adaptive networks
- Proc. IEEE MLSPDecentralized fusion of experts over networks
- IEEE Signal Process. LettersDetection of malicious agents in social learning
- Proc. IEEE SAM WorkshopDifferential error feedback for communication-efficient decentralized optimization
- IEEE Trans. Signal ProcessDiffusion moving-average adaptation over networks
- ICASSP (T1)Diffusion optimistic learning for min-max optimization
- IEEE Open J. Signal ProcessingDistributed adaptive learning under communication constraints
- ICASSP (T1)Distributed decision-making for community structured networks
202324 papers
- ICASSP (T1)Asynchronous social learning
- ICASSP (T1)Compressed distributed regression over adaptive networks
- IEEE Trans. Signal ProcessDesign of a tap-amplitude-based block proportional adaptive filtering algorithm
- IEEE Trans. Signal ProcessDiffusion Bayesian decorrelation algorithms over networks
- in IEEE Open J. Signal ProcessDiscovering influencers in opinion formation over social graphs
- IEEE Trans. Signal ProcessEnforcing privacy in distributed learning with performance guarantees
- IEEE Trans. Information TheoryEstimating the topology of preferential attachment graphs under partial observability
- ICASSP (T1)Identifying opinion influencers over social networks
- ICASSP (T1)Learning dynamic graphs under partial observability
- IEEE Trans. Information TheoryLearning from heterogeneous data based on social interactions over graphs
- ICASSP (T1)Local graph-homomorphic processing for privatized distributed systems
- IEEE Trans. Signal ProcessMemory-aware social learning under partial information sharing
Where alumni went33 listed, 52% to industry
Industry 13Academia 12
Most often to
- Amazon
- ASIC design at Celestial AI
- Daedalean AI
Also to
- EPFL
- University of Sao Paulo
- Ain Shams University
Apply to EPFLFall 2027
EDIC Computer and Communication Sciences PhD
- Round
- Round 1
- Opens
- —
- GRE
- optional
- English
- TOEFL 100 / IELTS 7.0
- Fee
- none
Confirmed on the program page.
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